Every UPI Transaction Leaves a Forensic Trail: The Digital Evidence Behind India's Instant Payments
How a ten-second tap-and-pay creates a chain of timestamps, hashes, and logs that investigators — and courts — now rely on to reconstruct financial crime in India.
Featured image placeholder — ALT: "Smartphone showing a UPI payment confirmation screen overlaid with a faint forensic data trail — timestamps, device ID, and transaction ID icons"
🚩 Introduction: The Payment That Told the Whole Story
A retired schoolteacher in Chandigarh once received a video call from a man in a police uniform. He was told, calmly and with a forged Supreme Court warrant on screen, that his bank account was linked to a money-laundering case involving a jailed businessman. Over the following hours, panic did what panic always does — it overrode judgment. He transferred lakhs of rupees across a chain of bank accounts to "prove his innocence." This was not an isolated incident; it fits a pattern investigators now recognise as the "digital arrest" scam, one of several fraud types that surged sharply through 2025 and into 2026 as UPI's reach expanded into every corner of the country.
What makes cases like this solvable at all is something most users never think about while tapping "Pay ₹500" at a tea stall: a Unified Payments Interface transaction is never a single, isolated event. It is a coordinated exchange between at least four independent systems — the sender's device, the sender's bank, the receiver's bank, and NPCI's central switch — each of which timestamps, logs, and retains its own record of what happened. When investigators pull these records together, a UPI payment stops being "just an app notification" and becomes a forensic timeline: who paid whom, from which device, at which location, routed through which bank, settled at which second.
This editorial is written for the people who increasingly need to understand that timeline — forensic science students, cybercrime investigators, banking fraud analysts, lawyers, judges, and the roughly one billion UPI users whose daily 20-billion-plus transactions now make India responsible for close to half of the world's real-time payment volume. We will walk through UPI's architecture, the digital footprints a transaction leaves behind, how investigators acquire and correlate that evidence, what Indian law says about admitting it in court, and what the future of payment forensics looks like as fraud, AI, and regulation race each other.
🌐 Understanding UPI: Architecture and Ecosystem
The Unified Payments Interface is a real-time payment system built and operated by the National Payments Corporation of India (NPCI), an umbrella organisation set up under the RBI's regulatory guidance to run India's retail payment infrastructure. UPI went live in April 2016 with 21 participating banks; a decade later it has grown into the backbone of India's digital economy, with 703 banks live on the platform by FY 2025-26 and monthly volumes that crossed 23.2 billion transactions worth ₹29.90 lakh crore in May 2026 alone.
Who does what in the UPI ecosystem
| Entity | Role | Forensic Relevance |
|---|---|---|
| NPCI | Owns and operates the UPI switch; routes every transaction between banks; assigns the core transaction reference. | Holds the Retrieval Reference Number (RRN) and routing logs — often the neutral, authoritative reference point in a dispute. |
| Remitter Bank (Payer's PSP Bank) | Holds the payer's account; authenticates the payer via UPI PIN/device binding. | Maintains authentication logs, device-binding records, and debit confirmation. |
| Beneficiary Bank | Holds the payee's account; credits funds on receiving NPCI's instruction. | Maintains credit confirmation and beneficiary KYC — critical for tracing mule accounts. |
| Payment Service Provider (PSP) / TPAP | Third-Party Application Providers such as the major UPI apps that offer the front-end interface to initiate payments. | App-side logs: device ID, session data, GPS (if permitted), push notification records. |
| Merchant / Payment Aggregator | Accepts UPI payments for goods/services via static or dynamic QR codes. | QR code metadata, settlement records, merchant terminal logs. |
The Virtual Payment Address (VPA) and identity abstraction
UPI's defining design choice is the Virtual Payment Address — an identifier like name@bankhandle that stands in for a bank account and IFSC code. This abstraction is what makes UPI fast and shareable, but it is frequently misunderstood by the public as a layer of anonymity. It is not. Every VPA is mapped, at the bank and NPCI level, to a specific KYC-verified account holder. The abstraction hides the account number from the counterparty during the transaction; it does not hide the account holder's identity from a bank or investigator with lawful authority to query it.
Modes of UPI Payment
- Person-to-Person (P2P) transfers — direct VPA-to-VPA or account-to-account transfers between individuals.
- Person-to-Merchant (P2M) payments — QR-code or intent-based payments at retail points, now the larger share of transaction volume.
- UPI Lite — an on-device wallet for small-value, PIN-less payments (up to ₹1,000 per transaction, capped daily and wallet limits), designed for low-friction micro-payments; because these transactions bypass the core switch for authentication, they generate a lighter but still traceable local ledger.
- UPI AutoPay — e-mandate-based recurring payments (subscriptions, SIPs, EMIs) authorised once and executed automatically.
- UPI International — acceptance of UPI-linked payments abroad and inbound acceptance of Indian UPI in partner countries, currently spanning multiple nations including the UAE, Singapore, Sri Lanka, Mauritius, Bhutan, Nepal, France, and Qatar.
- Offline UPI (UPI Lite X and feature-phone UPI) — proximity or USSD-based payment options built for connectivity-poor regions, which sync transaction records once connectivity is restored.
🧭 Anatomy of a UPI Transaction
A UPI payment that takes a user three seconds to complete actually involves a sequence of authentication, routing, and settlement steps distributed across several systems. Understanding this sequence is the foundation of understanding where evidence originates.
- User authentication: The PSP app verifies the user through device-level authentication (fingerprint, face unlock, or app passcode) before allowing access to payment functions.
- Device registration and SIM verification: UPI apps require registration from the SIM-registered mobile number of the account holder. This step silently sends an SMS from the device to verify the number and binds the UPI profile to that specific handset's IMEI and SIM combination — a step that later becomes crucial for proving that a fraudulent transaction did or did not originate from the victim's own device.
- Bank authentication and transaction request: On initiating a payment, the app constructs a transaction request containing the VPA, amount, and remarks, and sends it to the remitter bank via the PSP.
- NPCI routing: NPCI's central switch receives the request, resolves the beneficiary VPA to the correct bank and account, and forwards the request onward — assigning a unique Retrieval Reference Number (RRN), sometimes referred to as the UTR (Unique Transaction Reference).
- Bank approval: The remitter bank validates the UPI PIN (entered by the user, verified locally against bank-held credentials — the PIN itself is never transmitted in plaintext) and debits the account.
- Settlement: NPCI facilitates real-time settlement between the two banks' accounts held with the central clearing mechanism.
- Confirmation: Both banks send confirmation messages back through NPCI to the respective PSP apps, which display the success screen and, in parallel, trigger SMS and push-notification confirmations.
🔏 Why Every UPI Transaction Leaves a Forensic Trail
Because a UPI transaction is processed by multiple independent, logging institutions rather than a single app, it is structurally resistant to complete erasure. Deleting the app from a phone removes the local cache — it does nothing to the records held by the bank, NPCI, and the beneficiary's institution. Below is what each artifact actually represents and why it matters to an investigator.
| Artifact | Where It Lives | Forensic Significance |
|---|---|---|
| UTR / RRN | NPCI switch, both banks, both apps, SMS receipts | Cross-institutional anchor linking every party's independent record of the same event. |
| VPA (sender & receiver) | PSP app, bank mapping table | Maps to a KYC-verified bank account; central to identifying beneficiaries, including mule accounts. |
| Bank account & IFSC | Bank core banking system | Links the transaction to a legally identifiable account holder and branch. |
| Device ID / IMEI | PSP registration records, telecom records | Establishes which physical handset initiated the transaction — key in SIM-swap and account-takeover cases. |
| Mobile number & SIM details | Telecom operator, PSP registration | Confirms the registered number bound to the UPI profile; SIM-swap timing can be cross-checked against telecom logs. |
| IP address | PSP server logs | Can indicate approximate network location and, in remote-access fraud, reveal a device/session distinct from the victim's usual pattern. |
| GPS / location metadata | PSP app (where location permission is granted) | Available in some apps for merchant-payment fraud prevention; not universally logged, and must be requested with clear legal basis. |
| Timestamp | All systems (bank, NPCI, app) | Establishes precise sequencing — essential for reconstructing a fraud timeline down to the second. |
| Merchant/QR metadata | Payment aggregator, merchant terminal | Identifies whether a QR was static/dynamic and links it to a registered merchant ID. |
| App version & OS | PSP server logs | Helps correlate known malware/APK-fraud campaigns targeting specific app or OS versions. |
| Authentication & session logs | PSP servers | Shows login pattern, PIN-attempt history, and device-change events — key in account-takeover analysis. |
| SMS & push notification records | Device, telecom operator | Independent, near-real-time corroboration of the transaction outside the app itself. |
The forensic value of these artifacts lies not in any single one of them but in their correlation. A fraudster can spoof a caller ID or fabricate a screenshot; it is far harder to falsify a matching set of timestamps, RRNs, and device identifiers that independently agree across four or five unrelated institutional systems.
🗄️ Digital Evidence Generated During UPI Payments
Beyond the transaction-level artifacts above, a broader ecosystem of digital evidence surrounds every UPI payment and is frequently what investigators actually seize and analyse:
- Smartphone-level evidence: app data, cached transaction history, screenshots, saved contacts/VPAs, and — where the device is examined forensically — deleted-record remnants in SQLite databases.
- Banking app and PSP server evidence: transaction logs, device-binding history, customer support chat transcripts, and dispute/chargeback records.
- NPCI-level evidence: the authoritative routing record and RRN, typically obtained through the bank or via lawful requisition rather than directly by an individual investigator.
- Bank-level evidence: account statements, KYC documents, IP/device logs tied to net-banking or app-login sessions, and cheque/DD records where fraud proceeds are withdrawn physically.
- SMS and email records: transaction confirmations, OTPs, and — significant in phishing cases — the original fraudulent message or email that initiated the chain.
- Cloud synchronisation and backups: where a UPI app or messaging platform backs up chat/media to cloud storage, screenshots and shared payment links may persist even after local deletion.
- Call detail records (CDRs): obtained from telecom operators to establish contact between fraudster and victim, or to confirm SIM-swap timing.
- Browser history: relevant in phishing-link and fake-payment-gateway cases where a victim was redirected to a spoofed site before a UPI collect request was raised.
- QR code and payment link metadata: static QR codes can be swapped physically (a known merchant-fraud technique); dynamic QR/link generation leaves a server-side record of who generated it and when.
- Wallet application data: for UPI-linked wallets, separate ledger and KYC data held by the wallet provider.
🕵️ UPI Fraud Investigation: Patterns and Methodology
India's digital payment fraud has grown alongside UPI's own explosive adoption. Reported figures vary by source and reporting window — the Ministry of Home Affairs told Parliament that Indians lost over ₹22,845 crore to cyber frauds in 2024, while I4C-sourced analysis places 2025 losses at a broadly similar ₹22,495 crore across roughly 2.81 million complaints, a 24% jump in case volume even as the rupee figure held flat — with investment scams alone accounting for an estimated 75–77% of all money stolen. Below are the fraud patterns forensic investigators encounter most often in UPI-linked cases.
1. QR code scams
How it works: A fraudster sends or displays a QR code and tells the victim that scanning it will receive money — in reality, scanning a payment QR and entering the UPI PIN always authorises an outgoing debit, never a credit.
Digital evidence: QR metadata, PSP session logs showing the scan-to-authorisation sequence, RRN.
Investigation methodology: Trace the beneficiary VPA/account tied to the QR back through the bank to a KYC identity.
Prevention: No legitimate reason exists to scan a QR code or enter a UPI PIN to receive money.
2. Collect request fraud
How it works: The fraudster sends a "collect" (payment request) disguised as a refund or cashback notification; approving it authorises a debit from the victim's account.
Digital evidence: Collect-request logs on the PSP server, timestamped approval action.
Prevention: Treat every incoming collect request as a payment demand, not a receipt.
3. Fake customer-care and screen-sharing fraud
How it works: Victims search for a bank's or app's customer-care number online, reach a fraudulent number planted through SEO manipulation or fake listings, and are guided to install a remote-access application (often disguised as a "support tool").
Digital evidence: Remote-access app installation logs, device screen-recording artifacts, call records to the fraudulent number.
Investigation methodology: Mobile forensic extraction to identify the remote-access APK, its installation timestamp, and permissions granted.
4. APK malware and fake banking apps
How it works: Victims are induced to sideload a malicious APK (often via WhatsApp or SMS links) that mimics a bank or delivery app and silently captures SMS-based OTPs or UPI credentials.
Digital evidence: The APK file itself, its permissions manifest, C2 (command-and-control) network traffic, and SMS-forwarding logs.
Investigation methodology: Static and dynamic malware analysis alongside standard mobile acquisition.
5. SIM swap and account takeover
How it works: A fraudster obtains a duplicate SIM through fraudulent documentation or telecom-employee collusion, intercepts OTPs, and re-registers the victim's UPI profile on a new device.
Digital evidence: Telecom SIM-swap request logs, device-change/re-registration events on the PSP, mismatched IMEI between the original and fraudulent registration.
6. Digital arrest and impersonation scams
How it works: Fraudsters impersonate police, CBI, ED, customs, or judicial officers over video calls, using forged warrants and manufactured urgency to coerce victims into transferring funds — as in the Chandigarh case cited in the introduction, where a victim was shown a fake Supreme Court arrest warrant and kept on a continuous video call until he transferred ₹3.41 crore into multiple accounts.
Digital evidence: Call/video app logs, the destination account chain, and — where recorded — the impersonation call itself.
Note: As the Supreme Court has itself observed in a suo motu hearing on the subject, no Indian law currently defines "digital arrest" as a distinct offence, and no legitimate agency conducts arrests or demands payment over a video call.
7. Investment, part-time job, and refund scams
How it works: Victims are lured into fake trading apps or task-based "earning" schemes showing fabricated returns, then pressured to pay additional "fees" or "taxes" via UPI to withdraw non-existent profits.
Digital evidence: Fake app/website server logs (where seizable), UPI payment trail to the operators' mule accounts, and communication logs (often via encrypted messaging apps).
8. Mule accounts
How it works: Fraud rings recruit or coerce individuals — often students or the financially vulnerable — to open bank accounts that are then used to receive and rapidly layer stolen funds before withdrawal or further transfer, sometimes to cryptocurrency. One recent Bengaluru investigation traced an investment-fraud syndicate to roughly 9,000 mule accounts nationwide linked to an estimated ₹240 crore in fraud, while a CBI operation across five states uncovered around 8.5 lakh mule accounts opened without proper KYC or risk assessment across more than 700 bank branches.
Digital evidence: Account-opening KYC documents, transaction layering patterns, cash-withdrawal ATM/CCTV records.
Investigation methodology: Financial-flow (fund-trail) mapping across the chain of mule accounts, increasingly assisted by RBI's MuleHunter.AI, an AI/ML tool built by the Reserve Bank Innovation Hub that was implemented across 23 banks as of December 2025 to flag suspicious account behaviour at scale.
9. Phishing, smishing, and vishing
How it works: Fraudulent emails, SMS, or voice calls impersonate banks/NPCI to harvest UPI PINs or OTPs, or to direct victims to spoofed payment pages.
Digital evidence: The phishing message/email headers, spoofed domain WHOIS data, and the resulting transaction trail.
10. Deepfake-assisted and AI voice scams
How it works: Emerging cases use AI-generated voice or video — including fabricated calls impersonating known businesspeople or officials — to add credibility to fraud demands. This is a fast-evolving category flagged in recent reporting on India's cyber threat landscape, and one where forensic voice/video authentication techniques are only beginning to mature.
Digital evidence: The synthetic media file itself, metadata inconsistencies, and platform-level distribution logs.
💽 Digital Forensic Acquisition of UPI Evidence
Acquiring UPI-related evidence follows the same rigorous chain-of-custody discipline as any other digital forensic exercise, adapted to the mobile-first, cloud-connected nature of payment apps.
- Mobile acquisition: the primary evidence source in most UPI cases, since the PSP app, SMS, and often screenshots reside on the victim's or suspect's handset.
- Logical extraction: retrieves accessible files, app databases, and system logs without altering underlying storage — usually sufficient for confirming app-level transaction history.
- File system extraction: a deeper capture of the device's file structure, useful for recovering cached and partially deleted data.
- Physical extraction: a bit-for-bit image of the device's storage, generally reserved for cases requiring recovery of deleted records or malware analysis, and subject to greater technical and legal constraints on modern encrypted devices.
- Cloud acquisition: lawful requisition of PSP server-side logs, bank core-banking records, and NPCI switch data — typically obtained through formal legal process (police requisition, court order, or MLAT for cross-border providers) rather than device-level extraction.
- Preservation and chain of custody: every device and extracted artifact must be documented from seizure through analysis, with custody logs recording every individual who accessed the evidence.
- Hash verification: a cryptographic hash (commonly SHA-256) is computed at the point of acquisition and re-verified at every subsequent stage to demonstrate the evidence was not altered — this hash value is also what must be disclosed in a Section 63 BSA certificate.
- Live acquisition considerations: where a device cannot be powered off without losing volatile data (e.g., an active malicious session), investigators must weigh live-acquisition risk against the value of the data — and document that decision explicitly.
🧰 Forensic Tools Used in UPI Investigations
Investigators draw on established digital forensic platforms, each suited to different parts of a UPI investigation. This is a general orientation to tool categories and capabilities — not a specific case-by-case endorsement, and each tool carries limitations that a competent examiner must account for.
| Tool / Category | Primary Use | Limitation |
|---|---|---|
| Cellebrite UFED | Mobile device logical/physical extraction, including app data from payment apps | Support for newest OS versions and security patches often lags behind release; encrypted app sandboxes may resist extraction. |
| Magnet AXIOM | Cross-artifact analysis correlating mobile, cloud, and computer evidence in one case file | Cloud module requires valid account credentials or legal authorisation to pull provider data. |
| Oxygen Forensic Detective | App-specific parsing, including many regional payment and messaging apps | Parser coverage depends on vendor updates matching app version changes. |
| MSAB XRY | Mobile extraction with strong support for feature phones and legacy devices | Less commonly deployed for the newest flagship Android/iOS builds compared to competitors. |
| Belkasoft X | Memory forensics and artifact carving, useful for malware-driven UPI fraud | Best suited to computer/endpoint analysis rather than mobile-first cases. |
| Autopsy / The Sleuth Kit | Open-source disk and file system analysis | Requires significant examiner expertise; lacks built-in mobile app parsers of commercial suites. |
| Wireshark | Network traffic capture, useful in APK-malware/C2 analysis | Limited value where traffic is TLS-encrypted without a lawful interception point. |
| FTK / EnCase | Traditional computer forensics, indexing and keyword search across large data sets | Primarily desktop/server-oriented; mobile UPI data usually requires a companion mobile tool. |
| ADB (Android Debug Bridge) tools | Low-level Android data pulls for logical extraction | Requires USB debugging enabled; not viable on a locked, non-cooperative device. |
| SQLite viewers | Direct inspection of app databases (many payment apps store transaction caches in SQLite) | Manual analysis is time-consuming and requires knowledge of each app's schema. |
🔀 Correlating UPI Evidence With Other Data Sources
A UPI transaction record rarely stands alone in a real investigation. Its evidentiary strength grows when correlated against independent data streams:
- CCTV footage — to place a suspect physically near an ATM withdrawal or at a merchant location at the transaction timestamp.
- Google Maps Timeline / location history — where lawfully obtained, to corroborate a device's presence at a claimed location.
- Call Detail Records (CDRs) — to establish contact between fraudster and victim or between mule-account operators.
- WhatsApp/messaging chats — often the channel through which fraudulent QR codes, links, or APKs are shared.
- SMS and email — the OTP and confirmation trail.
- Browser history — for phishing-site visits preceding a fraudulent transaction.
- Bank statements and ATM records — to trace where and when defrauded funds were withdrawn as cash.
- Merchant invoices — to confirm whether a P2M payment corresponds to a genuine transaction or a fabricated one.
- Vehicle GPS / smartwatch data — increasingly used in physical-crime cases with a financial-fraud dimension, to corroborate a suspect's movement pattern.
A typical investigation workflow moves from the UPI/bank trail (who was paid, how much, when) outward to device and communication evidence (how the victim was deceived) and finally to physical corroboration (CCTV, ATM withdrawal, arrest location) — building a case that does not rely on any single piece of evidence in isolation.
🔨 Real Case Studies: What the Record Shows
The following are drawn from verified court orders, official agency statements, and mainstream news reporting on ongoing or concluded matters. Where facts derive from media coverage rather than a published judgment, that distinction is noted explicitly.
Merchant Account Freeze Over Fraud-Linked UPI Payment
Background: A retailer's current account, holding ₹8.26 lakh, was frozen after a customer who had allegedly been involved in a cheating case made a UPI payment into it.
Court proceedings: The Andhra Pradesh High Court held that a merchant's account cannot reasonably be frozen for an incoming UPI payment from a fraud-linked customer, joining courts in Kerala and Rajasthan that have taken a similar position on due process.
Lesson: This case illustrates the tension in mule-account enforcement — investigators must distinguish a genuine mule account from an innocent merchant who received one fraud-tainted payment among thousands of legitimate ones. It underscores why financial-flow analysis, not a single flagged transaction, should drive freeze decisions.
Bail Denial in a Mule Account Case
Background: A man's bank account was allegedly used as a mule account across multiple cyber fraud complaints registered on the National Cyber Crime Reporting Portal, linked to a broader network involving fake investment schemes, part-time job scams, and digital-arrest extortion.
Court proceedings: The Additional Sessions Judge denied the accused's regular bail plea after police investigation established multiple fraudulent transactions routed through the account.
Lesson: Courts are increasingly treating the transaction pattern within a "mule" account — volume, velocity, and immediate pass-through of funds — as material evidence of knowledge or negligence, not merely the fact that an account exists.
Investment Fraud Ring Traced Through 9,000 Mule Accounts
Background: A probe that began with a single victim's ₹3.03 crore loss to a fake investment app expanded into a nationwide mule-account network involving roughly 9,000 accounts and an estimated ₹240 crore in fraud.
Investigation: Police arrested 12 suspects, recovering 242 debit cards, 58 mobile phones, gold ornaments, cash, cheque books, passbooks, laptops, and a cryptocurrency ledger, tracing the operation to a principal suspect operating from outside India.
Lesson: The recovered material illustrates how a financially traced UPI/banking case ultimately converges with conventional physical evidence (cards, devices, documents) once suspects are located — reinforcing the correlation principle discussed above.
₹3.41 Crore "Digital Arrest" Extortion
Background: As reported by regional press, a Chandigarh resident received a call from an international number claiming a virtual account had been opened in his name and linked to a money-laundering case; shown a forged Supreme Court warrant over video call, the victim was pressured into transferring ₹3.41 crore across multiple accounts.
Investigation: Police identified and arrested accused individuals who had withdrawn the funds in cash, retaining a 1% commission before passing the remainder to an absconding accused.
Lesson: This case is characteristic of the coercive-urgency scam pattern the Supreme Court itself flagged in 2026 while directing the Centre to consider defining "digital arrest" as a distinct statutory offence, given that current law has no specific provision for it.
Operation Chakra-V: Mule Account Crackdown
Background: Under "Operation Chakra-V," the CBI conducted searches at 42 locations across five states — Rajasthan, Delhi, Haryana, Uttarakhand, and Uttar Pradesh — targeting mule bank accounts used in cyber fraud.
Investigation: The enquiry found that more than 700 bank branches nationwide had opened around 8.5 lakh mule accounts, many without proper KYC or initial risk assessment, and investigators seized incriminating documents, phones, account-opening records, and transaction details.
Lesson: The scale here — 8.5 lakh accounts across 700+ branches — demonstrates why individual case-by-case fraud investigation must be paired with systemic banking-sector reform (KYC tightening, AI-based mule detection) to be effective.
⚖️ Legal Admissibility Under the BSA, 2023
Electronic evidence in India — including UPI transaction records, bank logs, and mobile extractions — is now governed by Section 63 of the Bharatiya Sakshya Adhiniyam (BSA), 2023, which came into force on 1 July 2024 and replaced Section 65B of the erstwhile Indian Evidence Act, 1872.
What Section 63 requires
Section 63 provides that an electronic record — whether printed on paper or stored, recorded, or copied in optical or magnetic media or semiconductor memory — is deemed to be a document and is admissible without production of the original device, provided the conditions specified in the section are satisfied. Section 61 separately clarifies that an electronic or digital record cannot be denied admissibility merely because it is electronic — it carries the same legal weight as any conventional document, subject to Section 63's conditions being met.
The most consequential procedural change from the old Section 65B regime is the certificate requirement. A qualifying certificate under Section 63(4) must now be signed by both the person in charge of the originating device/system and an independent expert, and must disclose the record's hash value. The BSA's Schedule prescribes the certificate's exact format, and the expert must state the hash value of the electronic record along with the algorithm used to generate it — enabling any party to later verify that the record has not been altered since acquisition.
Why this matters for UPI evidence specifically
In practice, a UPI-linked prosecution or civil dispute typically requires certified records from more than one source — the bank's transaction log, NPCI's routing data, and any mobile extraction from a seized device — each accompanied by its own Section 63 certificate. Legal commentary on the reform notes that this shift is expected to particularly transform how the banking sector produces electronic records in litigation, since banks were already the most frequent institutional source of certified electronic evidence even under the old regime.
- Document the exact source system (bank core-banking, NPCI switch, PSP server, or seized device) for each artifact.
- Compute and record a cryptographic hash at the point of acquisition.
- Obtain the Section 63(4) certificate from the person in charge of the device/system and an independent expert.
- Log every subsequent access to the evidence, by whom and when.
- Re-verify the hash before any court presentation to demonstrate continued integrity.
This article is written for educational and investigative-awareness purposes and does not constitute legal advice; the specific admissibility requirements applicable to any individual case should be confirmed with a qualified legal practitioner and, where relevant, tested before the trial court.
🛡️ Privacy and Ethical Considerations
Financial transaction data is among the most sensitive categories of personal information, and forensic access to it sits at the intersection of investigative necessity and individual privacy rights.
The Digital Personal Data Protection Act, 2023
The DPDP Act, 2023 establishes India's first comprehensive personal-data framework, built around the relationship between a Data Principal (the individual) and a Data Fiduciary (the entity determining how and why data is processed — including banks and PSPs). Processing generally requires either the Data Principal's consent or a specific "legitimate use" recognised under the Act, and fiduciaries must give clear notice describing what data is collected and why before or alongside a consent request. The Act permits certain government and law-enforcement processing without individual consent under defined legitimate-use provisions, but this does not amount to unrestricted access — the Act still requires purpose limitation and establishes the Data Protection Board of India to adjudicate breaches, with penalties for significant contraventions running as high as ₹250 crore.
Practical implications for forensic practice
- Data retention: banks and PSPs retain transactional data for periods set by RBI's record-keeping mandates rather than at their own discretion; investigators should request records promptly, since indefinite retention should never be assumed.
- Purpose limitation: evidence acquired for one investigation should not be repurposed for unrelated inquiries without fresh legal authorisation.
- Banking confidentiality: account-level data remains subject to banking confidentiality norms even during a lawful investigation; disclosure typically proceeds through formal police requisition or court order rather than informal request.
- Responsible forensic practice: examiners should extract and retain only what is relevant to the specific matter under investigation, minimising incidental exposure of a suspect's or victim's unrelated personal data.
🚀 The Future of Payment Forensics
Payment forensics in India is moving from reactive, case-by-case investigation toward systemic, AI-assisted detection built directly into the financial infrastructure.
- AI-driven fraud detection: RBI's MuleHunter.AI, built by the Reserve Bank Innovation Hub, uses machine learning to flag suspicious account behaviour system-wide and was live across 23 banks as of December 2025, with the Ministry of Home Affairs directing all financial institutions to integrate with the platform by December 2026 according to recent reporting.
- Digital Payments Intelligence Platform (DPIP): a parallel RBI initiative leveraging AI to flag risky transactions and share fraud-detection intelligence across institutions in near real time.
- Indian Digital Payment Intelligence Corporation (IDPIC): a Section 8 company incorporated in October 2025 with a mandate to detect, prevent, and analyse fraud across India's digital payments ecosystem using AI, ML, and big-data analytics.
- Behavioural analytics and device fingerprinting: increasingly used by PSPs to distinguish a genuine user's typical transaction pattern from anomalous, fraud-consistent behaviour, triggering step-up authentication.
- Reviewed liability framework: RBI has confirmed it is reviewing its 2017 limited-liability instructions for unauthorised electronic transactions in light of new payment channels and evolving fraud patterns, and is reportedly weighing additional transaction "friction" — such as brief holds on large first-time transfers — as a deliberate trade-off against UPI's signature speed.
- Central Bank Digital Currency (CBDC): the Reserve Bank's e-rupee pilots continue to explore how programmable, traceable digital currency could complement UPI's account-based model.
- Biometric authentication and risk scoring: expanding beyond device PINs toward layered biometric checks for higher-value or higher-risk transactions.
- Quantum-safe payment security: an early-stage but active research area globally, anticipating the eventual need to harden payment cryptography against future quantum-computing threats.
❓ Myths vs Reality
| Myth | Reality |
|---|---|
| "Deleting the app deletes the evidence." | The app's local cache may be removed, but the bank, NPCI, and beneficiary institution retain independent records of the same transaction. |
| "UPI payments are anonymous." | Every VPA maps to a KYC-verified bank account; the abstraction hides the account number from the counterparty, not the identity from investigators. |
| "A screenshot is the only proof needed." | Screenshots are easily altered and carry limited evidentiary weight alone; they must be corroborated with bank/NPCI records and a Section 63 BSA certificate. |
| "A VPN hides your payment identity." | A VPN may mask a network-level IP address for browsing, but it has no effect on the bank-account identity tied to the UPI transaction itself. |
| "Incognito/private browsing prevents transaction tracking." | Private browsing modes only limit local browser history storage; they do not affect server-side bank, PSP, or NPCI transaction logging. |
✅ Best Practices for Every Stakeholder
For general users
- Never scan a QR code or enter a UPI PIN to "receive" money.
- Verify any customer-care number through the official bank/app website, not a search-engine result.
- Report unauthorised transactions to your bank and the 1930 helpline within hours, not days.
For merchants
- Use dynamic QR codes where possible and inspect static QR displays regularly for physical tampering/overlay.
- Reconcile settlement records against the payment aggregator's dashboard daily.
For investigators
- Request bank and NPCI records early — data-retention windows are finite.
- Anchor every correlation on the RRN/UTR before layering in device or communication evidence.
For digital forensic experts
- Maintain rigorous hash verification at every stage to satisfy Section 63(4) certificate requirements.
- Document tool limitations (OS/app-version support gaps) transparently in the examination report.
For banks
- Strengthen KYC verification at account opening to reduce mule-account onboarding.
- Integrate with AI-based detection tools such as MuleHunter.AI where available.
For law enforcement
- Prioritise rapid inter-bank coordination to freeze layered funds before withdrawal.
- Build financial-flow maps rather than pursuing single-transaction leads in isolation.
The forensic value of UPI data lies not in any single artifact, but in the fact that four independent institutions each keep their own honest copy of the same three seconds.
⭐ Key Takeaways
- UPI's multi-institutional architecture — device, PSP, bank, and NPCI — means every transaction is independently logged in at least four places.
- The RRN/UTR is the single most reliable anchor for cross-institutional correlation in a UPI investigation.
- VPAs are an abstraction layer for convenience, not a privacy shield; every VPA maps to a KYC-identified account.
- Section 63 of the BSA, 2023 now governs electronic evidence admissibility, requiring a dual-signed certificate disclosing the record's hash value.
- Mule accounts remain the structural weak point of India's fraud ecosystem, prompting AI-based detection tools like MuleHunter.AI and DPIP.
- No screenshot, on its own, should be treated as conclusive proof — always corroborate with institutional records.
- Courts are actively shaping the boundaries of mule-account enforcement, balancing fraud disruption against due process for innocent account holders.
💬 Frequently Asked Questions
What is the first thing I should do if I make an unauthorised UPI payment?
Can UPI transactions be traced even if the fraudster used a fake name?
Does deleting a UPI app remove the evidence of a transaction?
What is a UTR/RRN and why is it important in an investigation?
Is a UPI transaction screenshot valid evidence in court?
What is Section 63 of the Bharatiya Sakshya Adhiniyam, 2023?
What is a mule account?
Is UPI Lite traceable the same way as regular UPI?
Can a VPN or incognito mode hide a UPI transaction from investigation?
What is "digital arrest," and is it a real legal action?
How does RBI's MuleHunter.AI work?
What is the RBI's zero-liability policy for UPI fraud?
What digital evidence does a bank hold about a UPI transaction?
Can investigators recover a UPI transaction that a fraudster tried to delete from their phone?
What role does NPCI play in a UPI fraud investigation?
How do investigators trace funds across multiple mule accounts?
What is the difference between UPI's logical, file system, and physical extraction methods?
Does UPI International create additional forensic complexity?
What should a forensic report on UPI evidence include to satisfy legal standards?
Are UPI collect requests as risky as QR code scams?
How is the Digital Personal Data Protection Act, 2023 relevant to UPI forensic investigations?
What happens to money recovered from frozen mule accounts?
Can a merchant's account be frozen just because a fraudster paid into it?
What is the biggest technical challenge in UPI-linked mobile forensics today?
Where can I verify the latest official UPI fraud statistics?
📖 Glossary
- BSA (Bharatiya Sakshya Adhiniyam), 2023
- India's evidence law, effective 1 July 2024, replacing the Indian Evidence Act, 1872; Section 63 governs electronic evidence admissibility.
- Chain of custody
- The documented, unbroken record of who handled a piece of evidence, when, and how, from seizure through court presentation.
- Collect request
- A UPI feature allowing one party to request payment from another; approving it authorises an outgoing debit from the approver's account.
- DPDP Act (Digital Personal Data Protection Act), 2023
- India's personal-data protection law establishing consent and legitimate-use frameworks for data processing, and the Data Protection Board of India.
- Hash value
- A fixed-length cryptographic fingerprint of a file or dataset used to verify that electronic evidence has not been altered since acquisition.
- I4C (Indian Cyber Crime Coordination Centre)
- A Ministry of Home Affairs body coordinating India's national cybercrime response, overseeing the 1930 helpline and the National Cyber Crime Reporting Portal.
- IMEI (International Mobile Equipment Identity)
- A unique identifier assigned to a mobile handset, used forensically to link a device to registered app/UPI profiles.
- KYC (Know Your Customer)
- The identity-verification process banks and financial institutions must complete before opening or maintaining an account.
- Mule account
- A bank account used to receive and rapidly move fraudulently obtained funds, typically opened by a recruited or coerced individual.
- MuleHunter.AI
- An RBI Innovation Hub-developed AI/ML tool used by participating banks to detect mule-account behaviour system-wide.
- NPCI (National Payments Corporation of India)
- The umbrella organisation that owns and operates UPI's central switch and several other Indian retail payment systems.
- P2M / P2P
- Person-to-Merchant and Person-to-Person, the two principal UPI transaction categories.
- PSP (Payment Service Provider) / TPAP (Third-Party Application Provider)
- Entities such as UPI apps that provide the front-end interface enabling users to initiate transactions.
- QR code (merchant payment)
- A scannable code encoding merchant/payee payment details; scanning and authorising always initiates a debit, never a credit.
- RRN / UTR (Retrieval Reference Number / Unique Transaction Reference)
- The unique identifier NPCI assigns to a UPI transaction, appearing identically across all parties' records.
- Section 63 certificate
- The dual-signed document (device custodian and independent expert) required under BSA Section 63(4) to admit electronic evidence, disclosing the record's hash value and algorithm.
- SIM swap
- Fraudulent transfer of a victim's mobile number to a new SIM card, enabling interception of OTPs and re-registration of payment apps.
- VPA (Virtual Payment Address)
- A UPI identifier (e.g., name@bankhandle) that maps to a KYC-verified bank account without exposing the account number to the counterparty.
🔗 References
- National Payments Corporation of India (NPCI) — UPI product statistics and product documentation: npci.org.in
- Reserve Bank of India — Annual Report and circulars on unauthorised electronic banking transactions and MuleHunter.AI: rbi.org.in
- Indian Cyber Crime Coordination Centre (I4C) — National Cyber Crime Reporting Portal: cybercrime.gov.in and i4c.mha.gov.in
- Ministry of Home Affairs / Press Information Bureau — "Curbing Cyber Frauds in Digital India," October 2025: pib.gov.in
- Press Information Bureau — RBI MuleHunter.AI and IDPIC release: pib.gov.in
- Ministry of Electronics and Information Technology — Digital Personal Data Protection Act, 2023 (full text): meity.gov.in
- Bharatiya Sakshya Adhiniyam, 2023 — Section 63, full text: indiankanoon.org
- India Legal — Supreme Court suo motu proceedings on digital arrest scams, 2026: indialegallive.com
- MediaNama — Andhra Pradesh High Court order on merchant account freezes, 2026: medianama.com
- MediaNama — RTI response on MuleHunter.AI bank implementation: medianama.com
- Outlook Money — Chandigarh mule account bail order coverage: outlookmoney.com
- Deccan Herald — Bengaluru investment fraud and mule account ring: deccanherald.com
- The Tribune — Chandigarh ₹3.41 crore digital arrest case: tribuneindia.com
- News on Air / PIB — CBI Operation Chakra-V mule account crackdown: newsonair.gov.in
- iPleaders — Electronic evidence under the BSA, 2023: blog.ipleaders.in
- Law.asia — Electronic evidence changes and banking practice: law.asia
