LLM Make Stealing Identity Great Again
Bryce (lead author) with Ifrit (AI co-writer, ZEDOT) — Darkpaper Series · LLM Infrastructure Risk, May 2026.
45 to 60 million French profiles are already compromised (up to 85% of the adult population). Combined with agentic LLMs available for $20/month, this static data becomes a weaponized factory of indistinguishable synthetic identities: cloned voices, fingerprints extracted from high-res selfies, deepfaked ID documents, surgical phishing with 80% click rates.
This paper demonstrates why knowledge-based authentication is dead — password, date of birth, contract number, even security questions: everything is in the breaches. Only non-clonable possession (cryptographic NFC chip, hardware FIDO2 key) still holds.
ANTS must pivot from a title-issuance agency to an active defensive anthill: national identity incident registry, automatic credit freeze, open NFC verification API for private actors, massive training for document-facing personnel.
From raw breach to ghost ant: a fully automatable pipeline, operational for the monthly cost of a streaming subscription.
France has an agency whose name sounds like an ontology: ANTS — Agence Nationale des Titres Sécurisés (National Agency for Secure Titles). Its role is simple and foundational: to be the guardian of every French citizen's digital identity. National ID card, biometric passport, driving license, vehicle registration. Sixty-eight million ants, each with a unique identifier, an NFC chip, biometric data, and rights of passage across the territory.
ANTS is the official anthill of the French state. Its infrastructure is the national identity pheromone.
Since 2023, someone has been methodically trampling that anthill. Not an isolated hacker in a basement. An industrial infrastructure — available for under twenty dollars a month — capable of reading a billion stolen profiles, cross-referencing them, synthesizing them, and producing a replacement identity indistinguishable from the original.
That someone is a LLM connected to a stolen database.
Before explaining how LLMs amplify the disaster, we need to measure the available raw material. In France, the past two years have produced an unprecedented collection of identity data:
| Date | Victim | Records Stolen | Data Exposed |
|---|---|---|---|
| Jan 2024 | Viamedis + Almerys (health third-party payers) | 33,000,000 | Name, DOB, Social Security number, health insurer, coverage status |
| Mar 2024 | France Travail (formerly Pôle Emploi) | 43,000,000 | NIR, civil status, contact details, employment history — largest data breach ever recorded in France |
| Oct 2024 | Free (telecom operator) | 19,200,000 subscribers + 5,100,000 IBANs | Full identity, bank details |
| Sept 2024 | SFR | ~3,500,000 | Customer data, addresses |
| Aug 2023 | Pôle Emploi (unemployment agency) | 10,000,000 job seekers | NIR, civil status, contact details |
| 2024 | Various mutuelles (Malakoff, Vyv…) | ~5,000,000 | Reimbursement data, pathologies |
| 2024 | CAF (Family Benefits Agency) | undisclosed | Social data, family situation |
| 2025 | Various medical operators | ~2,000,000 | Fragmented health records, prescriptions |
Estimated total French citizens with identity data in the wild: between 45 and 60 million — up to 85% of the adult population (massive cross-referencing between breaches).
In any anthill, losing a single pheromone trail disorients one ant. Here, the entire ground — the collective pheromone layer of sixty million citizens — has been overturned.
French data doesn't circulate in isolation. It aggregates in dark web marketplaces alongside global archives. The past four weeks (May 2026) show unprecedented acceleration.
| Incident | Records | Scope | Date |
|---|---|---|---|
| National Public Data (US, Aug 2024) | 2,900,000,000 | SSN, addresses, history, family — near-exhaustive US | 2024 |
| AT&T (US, 2024) | 73M records + call logs for 110M customers | Complete telephony metadata | 2024 |
| Snowflake-cascade (2024) | Ticketmaster 560M, Santander 30M + dozens more | Stolen cloud credentials → mass extraction | 2024 |
| 23andMe (2023) | 6,900,000 genetic profiles | DNA, ancestry, predispositions | 2023 |
| Change Healthcare (US, 2024) | ~100,000,000 medical records | Complete medical history | 2024 |
| RockYou2024 (2024) | 9,948,575,739 unique passwords | Largest credential dump in history | 2024 |
| Geisinger Health System (2023-2026) | 1,200,000 records | Employee theft at Nuance AI (conversational AI platform) late 2023; $5M financial settlement finalized March 2026 | 2023-2026 |
| Kali365 PhaaS (May 2026) | M365 accounts + OAuth tokens | Microsoft 365 OAuth abuse; credential harvesting at scale | May 2026 |
| ShinyHunters Campaign (May 2026) | 7-Eleven (183K), Charter, + targets | Full identity + payment data | May 2026 |
| Ghost CMS SQLi (May 24, 2026) | Hundreds of sites | ClickFix malware injection; website data breach | May 2026 |
| The Oncology Institute (May 27, 2026) | 100+ cancer clinics | Patient medical records | May 2026 |
Estimated Annual Losses (FBI IC3 2024): $16.6 billion USD (vs. $4.2B in 2020). 4x increase in 4 years.
Before 2022, stealing an identity required effort: manually cross-referencing sources, finding the right fragments, forging a narrative. A human could process a few dozen victims per day. Industrialization existed (botnets, automated credential stuffing), but remained limited to blunt uses — login, transaction.
Since 2025-2026, a complete industrial ecosystem has been established:
LLMs change the very nature of the attack.
Take three data sources for the same French citizen: 1. Their Viamedis profile (name, DOB, Social Security number, health insurer) 2. Their entry in the Free breach (address, phone number, IBAN) 3. Their Pôle Emploi history (past employers, contract lengths, declared salaries)
An LLM can in thirty seconds: - Write a coherent biography of the person - Identify their probable current profession, living standard, and family structure - Generate a perfect bank letter in their name, in their inferred style - Produce a complete mortgage application with the right figures, dates, and references
This isn't prediction. It's model-assisted identity reconstruction. The LLM fills the gaps between fragments — exactly as a pheromone trail connects traces so the colony knows where to go.
Modern identity verification often relies on voice. Banks, insurance companies, and security hotlines use voice challenges. The problem: if your voice is online somewhere — a LinkedIn video, a podcast, a Zoom meeting recording — a voice cloning model like ElevenLabs or Whisper+XTTS can synthesize your voice from thirty seconds of sample.
An attacker with your Viamedis data, your Free IBAN, and three audio clips from a meeting can: 1. Call your bank impersonating you 2. Pass the voice verification with your clone 3. Obtain a wire transfer or change your account details
Voice is a volatile pheromone: it proves identity in the moment, impossible to reproduce on demand. LLM cloning just made that statement false.
ANTS issues CNI cards with a signed NFC chip. But the chip isn't verified in every context. In online exchanges (apartment rental, employment contracts, neobank account opening), it's often a scan of the document that carries legal weight.
Multimodal LLMs (GPT-4o, Gemini 1.5 Pro, Llama 3.2 Vision) combined with image generation tools (SDXL, Midjourney, Flux) now allow: - Taking a real scanned CNI (available in HR document leaks, rental platforms) - Changing the name, photo, date of birth - Producing a document visually indistinguishable to the unaided human eye
The dark market already offers "KYC bypass as a service" for under €50 per document.
The era of the "Nigerian prince" is over. An LLM connected to your breach data can generate a phishing email: - Using your exact first and last name - Mentioning your last health insurance reimbursement (Viamedis data) - Mimicking your operator's visual identity (Free, SFR) - Referencing your real contract number - Written in the tone and style inferred from your past communications
Click rates on this type of targeted phishing exceed 80% according to professional red team OSINT tests. Against less than 5% for generic spam.
The ultimate crime enabled by this combination isn't stealing an existing identity. It's creating a synthetic identity — an ant that never existed but is entirely credible.
The process: 1. Combine fragments from three or four real people (name of one, date of birth of another, Social Security of a third) 2. Enrich the profile with an LLM to create a coherent biography 3. Generate identity documents with an image model 4. Clone a composite voice from public sources 5. Create bank accounts, addresses, credit histories
This entity appears in no victim registry. It has no real owner to file a complaint. It can take out loans, rent apartments, receive social benefits for months before a human analyst detects the anomaly.
This is the most insidious attack: injecting a ghost ant into the colony. It walks the same trails, leaves the same traces — but it never existed. The colony cannot distinguish synthetic pheromone from real. It obeys.
ANTS has strengthened its titles. The new CNI (since 2021) features an NFC chip with cryptographic signature. The biometric passport conforms to ICAO standards. These technical measures are real and effective for checks that actually verify them.
The problem lies elsewhere — in the weak links surrounding the secure title:
| Context | Real NFC chip verification | LLM Risk |
|---|---|---|
| Private apartment rental | ❌ Never | High |
| Neobank account opening | ⚠️ Partial (OCR + liveness) | Medium-High |
| Freelance contract | ❌ Never | High |
| SME hiring | ❌ Rarely | High |
| Schengen border crossing | ✅ Systematic | Low |
| Online government services (FranceConnect) | ⚠️ Variable | Medium |
ANTS protects the document. It does not protect the non-binding contexts in which the document is presented. And those contexts represent 95% of real identity usage.
Data breaches existed before ChatGPT. Credential stuffing existed. Document fraud existed. What changes in 2024–2026 is qualitative, not merely quantitative.
Before agentic LLMs (pre-2024): - Stealing an identity = manual effort, a few hours per victim - Phishing = generic, low success rate - Document fraud = expensive craft - Synthetic identities = rare expertise
With agentic LLMs (2025–May 2026): - Stealing an identity = automated pipeline, thousands of profiles/hour - Phishing = surgical, 80%+ success rate - Document fraud = online service at €50 - Synthetic identities = industrial production, zero trace of a real victim - Active darknet services: KYC bypass-as-a-service ($500-5,000), voice clones ($300-1,000), credential selling ($10-100) - Criminal participation rate: 5 major AI campaigns confirmed (Patriot Bait, Vibe Hacking, Nimbus Manticore, Kali365, ShinyHunters) in May 2026 alone - Annual losses: $16.6 billion USD (2024), accelerating trajectory for 2025-2026
The LLM is the MCP of stolen identity: it connects fragmented data, generation tooling, and exploitation channels into a coherent, automatable pipeline. What MCP does for legitimate agents inside companies, LLMs do for malicious agents in the world of identity.
The anthill wasn't attacked. It was tooled to devour itself.
| Defense | Anti-LLM Effectiveness | Notes |
|---|---|---|
| Verified NFC chip (cryptographic read) | High | But rare in practice |
| FIDO2 key / passkey | High | Resists phishing |
| Breach monitoring (HIBP, service-public.fr) | Medium | Detects, doesn't protect |
| Credit freeze | High | Blocks synthetic identities |
| Live voice + video identity verification | Medium | Real-time deepfake is coming |
The lesson from the anthill is simple: a pheromone trail can be imitated. The only defense isn't hiding the trail better — it's demanding a challenge the imitator cannot meet.
Practical translation: never authenticate on knowledge (what you know, because it's in the breaches) or copyable possession (your contract number, your date of birth). Authenticate on non-clonable possession — the signed NFC chip, the hardware FIDO2 key.
Everything else is a reproducible pheromone.
For individuals (free or low-cost): - Check your exposure: haveibeenpwned.com, cybermalveillance.gouv.fr - Hardware FIDO2 key: YubiKey 5 (≈€45) or Token2 (≈€25) on banks, primary email, password manager — phishing-resistant by design - Password manager: Bitwarden, KeePassXC — unique password per site - Banking surveillance: SMS/push alerts on all charges, preventive opposition on unknown SEPA - France Identité (official ANTS app): use NFC-enabled CNI via FranceConnect+, the highest authentication level - Pre-filled complaint at pre-plainte-en-ligne.gouv.fr in case of impersonation
For organizations (HR, banks, platforms): - Stop accepting raw ID scans: require NFC verification via a certified provider (Docaposte, Idemia, Onfido) - Unannounced video calls when signing critical contracts (defense against pre-recorded deepfakes) - Mandatory hardware MFA on all privileged access (admin, HR, finance) - Smart WAFs like BunkerWeb / ModSecurity against automated credential stuffing and LLM bot scraping - Continuous training for document-facing teams — recognize cloned voices, basic deepfakes, hyper-tailored phishing - CNIL notification within 72h in case of breach (GDPR art. 33) — legal obligation, lever for collective transparency
For the cyber community: - Contribute to open-source deepfake detection projects (DeepfakeBench, AI-Voice-Detector) - Document new attack techniques on open platforms (MITRE ATT&CK, public CTI) - Share IoCs (Indicators of Compromise) between private and public CSIRTs — attackers pool their tools; defense must pool its knowledge
ANTS built good documents. It has not built an active defense network against the synthetic exploitation of those documents in non-binding contexts.
The next step is not a better CNI. It is: 1. A national identity incident registry, accessible to victims in near-real-time 2. An automatic credit freeze when a confirmed breach affects your NIR (French SSN) 3. An open NFC verification API available to private actors (neobanks, rental platforms) to force chip verification rather than image OCR 4. Massive training for document-facing personnel (HR, banks, agencies) on the signatures of LLM-assisted fraud
But these four measures are already catch-up. The real work lies ahead, and it is collective.
Digital identity was designed for a world where the attacker was an artisan. We now live in a world where the attacker is industrial infrastructure — and tomorrow, where it will be quantum. The cryptographic schemes protecting today's NFC chips (RSA, ECC) will be breakable within 10-15 years by a cryptographically relevant quantum computer. If we don't migrate now to post-quantum cryptography (Kyber, Dilithium, SPHINCS+), identity titles issued today will be retroactively decryptable.
This is why the community — researchers, engineers, lawyers, citizens, state agents — must work actively and jointly to reinvent an identity system that:
I want to address here the cybersecurity experts who have, for years, been shouting to reduce the impact of these abuses. Their voice is too often dismissed as yet another "crying wolf" — even though the damage is already documented, quantified, and the leaks pile up month after month. We are sufficiently informed; the problem is no longer information, it's staging.
By constantly shaking the anthill with anxiety and panic — alarmist headlines, apocalyptic metaphors, doom-laden threads without an action plan — this is all the public retains: a background hum of dread that ends up anesthetizing rather than mobilizing. And too often, the experts themselves no longer know what to do: shout louder? stay silent? produce yet another report? The result is a collective dissonance: everyone knows, no one acts, and the next breach is greeted with a shrug.
We must therefore organize our communications as a crisis-management operation at the scale of the Country, and indeed of Europe: a unified cell (ANSSI, CNIL, ANTS, ENISA, European counterparts) with a shared communication doctrine, messages calibrated by audience (citizen, executive, elected official, journalist), a single public registry of incidents and their remediation status, and concrete action windows published alongside every alert ("here are the 3 things to do within 24 hours"). No more panic without a plan, no more report without follow-up, no more isolated expert shouting into the void.
Real ant-work, if I may put it that way — patient, coordinated, distributed, where every grain-bearer counts, and where the column advances because it walks together and in the same direction.
Sixty-eight million ants. Forty-five to sixty million complete identity profiles already in the wild. Industrial LLM tooling available for twenty dollars a month. And behind the horizon, quantum computing that will obsolete our current signature schemes.
The kick has already landed. The anthill has been overturned. The question is no longer just who rebuilds the ground — it is with what materials, what governance, and what vision of what it means to be a "digital ant" in the 21st century.
This work will not be done by a single agency, a single government, or a single company. It will be done by all of us, together, or it will not be done at all.
Références / References: - CNIL — Violations de données notifiées 2023–2025 : cnil.fr/fr/violations-de-donnees - ANTS — Titres sécurisés : ants.gouv.fr - HaveIBeenPwned — Breach database : haveibeenpwned.com - Cybernews — National Public Data analysis (août 2024) - Emsisoft — Snowflake breach report (2024) - DINUM — FranceConnect threat model (2024) - Darkpaper — MCP : L'Entrée des Hackteurs (série, 2026) : article-mcp-douane-llm
Darkpaper · Statut: draft · 2026-05-27