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IDScan confirms breach after 153 million driver’s licenses leak on dark web

IDScan.net confirmed hackers accessed cloud-stored customer data after a dark web listing exposed 153 million US and Canadian driver's license scans.

IDScan.net, a Louisiana-based identity verification provider serving car rental companies, retailers, and cannabis dispensaries, confirmed unauthorized access to customer data stored on its cloud platform around September 1, 2026. A dark web marketplace called Nexus advertised more than 153 million US and Canadian driver's license scans, plus 10 million ID cards, 3 million travel documents, and 579,000 medical cards. Krebs traced the leak to IDScan.net, prompting an FBI New Orleans investigation; the company is notifying affected individuals and offering free credit monitoring while cooperating with federal law enforcement.

Help Net Security·updated Sep 11, 09:59 UTC · 5d ago·first Sep 11, 08:39 UTC · 5d agoData breach in the wild 4 sources

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SpyCloud 2026 Identity Threat Report Finds Non-Human Identities Are Now the Leading Path into the Enterprise

SpyCloud survey of 750 security leaders finds compromised non-human identities are the top enterprise entry point, yet only 36% monitor them.

The 2026 Identity Threat Report surveyed 750 cybersecurity leaders at organizations with 500+ employees across North America and Europe. Compromised non-human identities (31%) were the most cited primary attacker entry point, nearly double phishing (17%), while only 36% of organizations monitor AI agents, service accounts and API keys. 68% of respondents reported identity-based events, averaging eight each, and 91% use AI tools but only 56% have formal governance over their privileges.

GBHackers·Sep 9, 12:54 UTC · 7d agoResearch 2 sources

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Key Reasons Why Identity Fabric Matters in 2026

Identity sprawl and unowned machine identities leave enterprise access unobserved at runtime; identity fabrics aim to close the gap between policy intent and execution.

This sponsored explainer describes identity fabric as an architectural approach connecting identity providers, governance systems, applications, and infrastructure into one observable layer that compares designed access intent with runtime execution. It argues identity sprawl across SaaS, APIs, and cloud workloads, plus unmanaged non-human identities (service accounts, bots, workloads, API keys), leaves overprivileged, dormant, and unowned machine identities unmonitored. IdP-only monitoring misses application-layer attacks, and the piece advocates behavioral visibility and lifecycle governance for secrets and machine identities.

The Hacker News·Aug 28, 11:30 UTC · 19d agoIndustry

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What the Data Says About AI in Security Operations in 2026

Prophet Security's 2026 survey of 250+ security pros: 40% use AI daily; AI users report 25%+ faster investigations and rising AI-driven attacks.

Prophet Security's State of AI in Security Operations 2026 report, based on a survey of 250+ cybersecurity professionals, found 40% of security teams use AI daily and only 4% have no adoption plans. Teams average 100 daily alerts (up to 1,000 at large firms), leave 28% of alerts uninvestigated, and 60% of respondents said missed alerts led to breaches or downtime. Among AI adopters, 72% report at least 25% faster investigations, 56% observed increased AI-driven attacks, and no respondents grant AI full unsupervised autonomy. Data privacy (44%) and explainability (41%) top the adoption hurdles.

The Hacker News·Aug 27, 11:30 UTC · 20d agoIndustry

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18 ways to check whether data can be trusted for AI

ETSI published TR 104 180 defining 18 data quality metrics, including fairness and privacy, to assess whether datasets are fit for AI.

ETSI's technical report TR 104 180 defines 18 metrics across four groups - intrinsic quality, usability and lineage, fairness, and privacy - each with calculation formulas, plus an open-source tool that scores datasets. Testing on an aircraft engine sensor dataset and a US census dataset revealed a roughly threefold gender gap in high earners (about 31% of men versus 11% of women) and two privacy failures: re-identification via age, race, sex, and country, and sensitive fields stored in plaintext. The working group included Sejong University, EGM, TTA, Daejeon University, and CNIT.

Help Net Security·Sep 7, 00:00 UTC · 9d agoAI policy

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88 ID Verification Breaches Show the Cost of Collecting Identity Data

A report catalogs 88 ID-verification breaches since 2011 exposing at least 2.15 billion records, with 41 incidents leaking irreplaceable biometric data and documents.

A Mysterium VPN report compiles 88 documented breaches since 2011 involving identity and age-verification data, with confirmed exposure of 2.15 billion records and claimed totals of 4.54 billion. In 41 of 88 incidents, ID scans, verification selfies, fingerprints, and biometric templates leaked, data that cannot be changed after exposure. Notable cases include the Tea app's exposed selfies, Discord's ~70,000 government IDs, vendor failures at AU10TIX, Sumsub, and Persona, and national registry breaches in Argentina (45 million records) and France (11.7 million people).

Security Affairs·Aug 26, 08:30 UTC · 21d agoData breach

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Unmasking Cloud Identities: From Behavioral Clustering to Automated Detection

Unit 42 clusters behavior of 40,000+ AWS identities from 125 cloud environments to map functional roles and enable lightweight SQL-based detection.

Palo Alto Unit 42 built an unsupervised behavioral clustering model using UMAP and HDBSCAN on AWS CloudTrail logs to map cloud identities to functional roles such as administrators, backup services, security tooling and DevOps. The study analyzed over 40,000 identities across 125 cloud environments over two months. The researchers show that heuristics extracted from the clustering map can be implemented in standard SQL, enabling role classification at scale without running a continuous ML pipeline. The methodology extends to audit logs from other cloud providers, SaaS and Kubernetes.

Palo Alto Unit 42·Sep 14, 10:00 UTC · 2d agoResearch

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SpyCloud 2026 Identity Threat Report Finds Non-Human Identities Are Now the Leading Path into the Enterprise

SpyCloud's 2026 survey of 750 security leaders finds compromised non-human identities are the top enterprise entry point, yet only 36% monitor them.

SpyCloud's Identity Threat Report, based on a survey of 750 cybersecurity leaders at organizations with 500+ employees, found compromised non-human identities (31%) were nearly twice as likely as phishing (17%) to be the primary attacker entry point. 68% of organizations reported identity-based events averaging eight each, while 95% believe they have visibility into AI and NHI exposures but only 36% actually monitor them. The report also found 91% use AI tools with internal access but only 56% have formal governance, and introduces an Identity Threat Protection Maturity Model.

CSO Online·Sep 9, 12:00 UTC · 7d agoIndustry

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NHIs Now the Number One Corporate Entry Point for Hackers

SpyCloud survey finds non-human identities like AI agents and API keys were the primary entry point in 31% of intrusions, nearly double phishing.

SpyCloud's Identity Threat Report, based on a survey of 750 security leaders at organizations with 500+ employees, found non-human identities caused 31% of intrusions versus 17% for social engineering. Only 36% of organizations actually monitor NHIs although 95% believe they have adequate visibility into them. Some 68% of respondents suffered an identity-based event, with NHI-related misuse at 42%, and organizations able to see stolen session cookies reported identity incidents at a lower rate (37% vs 50%).

Infosecurity Magazine·Sep 9, 13:00 UTC · 7d agoResearch in the wild

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FBI Probes Possible Breach of 153 Million Driver’s Licenses

FBI investigates possible breach exposing up to 170M North American driver's licenses, data sold on Exploit forum via 'Nexus' service, linked to IDScan.net.

The FBI is investigating a potentially massive breach of identity data affecting as many as 170 million North Americans, first reported by Krebs. The 'Nexus' service on the Exploit cybercrime forum claimed to hold over 153 million US and Canadian driver's licenses plus ID cards, travel documents, and medical cards, sourced from an active breach at a major identity verification company. Krebs linked the trove to New Orleans-based IDScan.net, which is investigating. The service went dark shortly after publication; experts warn stolen license data (DOB, address, ID numbers) can't be changed and could enable lifelong identity fraud.

Infosecurity Magazine·Sep 3, 09:33 UTC · 13d agoData breach in the wild

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How to Spot and Stop Rogue Device Joins

Wiz details how adversaries use realistic device names in Entra ID registrations to evade detection and which behavioral signals still expose them.

Wiz researchers describe how adversaries generate realistic device names during Entra ID device registration instead of leaving recognizable fingerprints from public tooling, making rogue device joins blend into enterprise environments. The post explains how this trend changes Entra ID detection approaches. It also identifies behavioral signals that still expose these attacks. No specific CVE or victim was named.

Wiz Blog·Aug 18, 16:24 UTC · 29d agoResearch in the wild

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Identity-Based AI Attack Threatens Security of Enterprise Data

Dark Reading describes 'workflow identity hijacking,' an identity-based attack that hijacks enterprise AI workflows through unauthenticated entry points.

Dark Reading reports on 'workflow identity hijacking,' an identity-based attack technique targeting AI-driven enterprise workflows. The technique reportedly bypasses standard security controls by sending a basic request through an unauthenticated entry point to hijack an organization's data. The teaser provides no further technical detail, affected products, or attribution.

Dark Reading·Sep 9, 14:39 UTC · 7d agoAI safety & security

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It sure looks like hackers breached a major ID card verification service

Suspected breach of ID verification firm IDScan exposed over 150 million US and Canadian driver's licenses and passports, sold via dark web site Nexus.

Independent journalist Brian Krebs reported that a dark web site called Nexus is selling searchable access to more than 150 million driver's licenses and passports belonging to people in the United States and Canada, adding roughly 500,000 documents daily from a 'major identity verification company.' Krebs and researcher Zach Edwards identified Louisiana-based identity verification service IDScan as the likely source; Krebs' own license and Defense Secretary Pete Hegseth's records appeared in the database. The FBI confirmed it is looking into the incident and IDScan says it is investigating; Nexus went offline shortly after the report went live.

TechCrunch · Security·Sep 2, 19:35 UTC · 14d agoData breach in the wild

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Topological Fraud Detection in Latent Transaction Spaces

Researchers present a privacy-preserving fraud detection method combining unsupervised filtering and supervised classification on anonymized transaction embeddings for low-latency triage.

The paper describes fraud detection performed entirely on topologically anonymized transaction embeddings. It iterates unsupervised filtering followed by supervised classification ('sniping') to flag suspicious activity. The goal is ultra-low-latency, privacy-preserving triage for institutions without exposing personally identifiable information.

arXiv cs.CR·Sep 8, 08:50 UTC · 8d agoResearch

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IDScan confirms breach after hackers offer 153 million driver’s license scans for sale

IDScan confirmed hackers accessed customer data in its cloud after scans of roughly 153 million driver's licenses surfaced for sale on a dark web marketplace.

IDScan.net published a breach notice on September 4, after learning around September 1 that an unauthorized third party may have accessed or copied customer information in its cloud platform, potentially including full names and government-issued ID numbers. KrebsOnSecurity tied the incident to Nexus, a Russia-linked dark web marketplace selling access to over 153 million US and Canadian driver's license scans, plus 10 million ID cards, more than 3 million travel documents, and at least 579,000 medical cards. The company did not disclose how many customers were affected, is offering free credit monitoring, faces multiple lawsuits, and the FBI has opened an inquiry. IDScan's government ID authentication is widely used by banks, cannabis retailers, and gun stores.

The Record·Sep 10, 18:55 UTC · 6d agoData breach in the wild

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Hackers publish thousands of drivers’ data after breaching Florida motor vehicle database

ShinyHunters published hundreds of thousands of records from Florida's DAVID vehicle database, including SSNs and passports, after an unpaid ransom demand.

The ShinyHunters group published hundreds of thousands of files from Florida's DAVID motor vehicle database on its leak site, saying the victim did not pay a ransom. Stolen records include vehicle ownership certificates with names, addresses, and VINs, plus a smaller number of Social Security numbers, non-US passports, and immigration documents. FLHSMV confirmed the breach, which followed theft of a police officer's credentials stored on a personal device. It comes the same month as the IDScan hack exposing over 150 million driver's license images.

TechCrunch · Security·18:00 UTC · 5h agoData breach 3 sources

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What Good Identity Hardening Looks Like

Huntress guidance defines mature identity hardening beyond baseline MFA, covering exception cleanup and detecting identity configuration drift before attackers do.

Huntress argues MFA is only a starting point and outlines what mature identity hardening actually looks like in practice. The guidance covers closing MFA exceptions and coverage gaps that create unauthenticated attack paths. It also stresses catching identity configuration drift before attackers can exploit it.

Huntress·Aug 25, 13:00 UTC · 22d agoResearch

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Privacy Failure in Split-LLM Training, The Returned Gradient Nullifies the Decoys

Researchers show split-LLM training leaks privacy via zero-valued gradients on decoy rows, exposing which activations are real despite passing forward-channel checks.

A systems-security case study of a two-node split-LLM training setup found that the returned output gradient from an Untrusted Cloud Node is exactly zero for decoy rows, revealing which rows are real. Across nine seeds, zero patterns identified real rows in 4,096 of 4,096 frames per run, and an attack on frame contents recovered 0.65 to 1.50 percentage points of extra tokens over a baseline. Both datasets passed forward-channel privacy and quality checks but failed once the returned gradient was included. Row-wise gradient clipping and noise closed the leak for roughly 0.01 nats of held-out cross-entropy, though five unmeasured attack classes remain.

Hugging Face daily papers·Sep 2, 20:00 UTC · 14d agoAI safety & security

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The Machine With Many Faces: Post-Exploitation Identity Misuse in SPIFFE/SPIRE

Unit 42 demonstrates that root access on a Kubernetes node lets attackers spoof SPIFFE/SPIRE attestation and harvest co-located workloads' SVIDs.

Palo Alto Networks Unit 42 describes post-exploitation techniques in which an attacker with root on a compromised Kubernetes node spoofs Linux cgroup metadata used by the SPIRE agent during workload attestation, tricking it into issuing a co-located workload's SPIFFE Verifiable Identity Document to an attacker-controlled process. The research shows the core trust assumption of machine-identity systems—that the node is trusted—collapses once root is obtained, exposing all cryptographic identities scoped to that node. Unit 42 released an open-source tool, Spooffe, for defenders to test identity exposure, and notes the technique has not been observed exploited in the wild.

Palo Alto Unit 42·Sep 10, 10:00 UTC · 6d agoResearch1

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Security Data Isn’t the Problem. Security Context Is.

Horizon3 blog argues security context, not data volume, is the SOC bottleneck, promoting its NodeZero integration with CrowdStrike Falcon Next-Gen SIEM.

Horizon3.ai published a vendor blog explaining how its NodeZero Proactive Security Platform integration with CrowdStrike Falcon Next-Gen SIEM brings validated exposure findings into existing security operations workflows. The post argues SOCs are now limited by confidence rather than visibility, needing context to decide which issues matter. It cites a global chemical manufacturer that validated exploitable exposures with NodeZero before completing a $2 billion merger.

Horizon3.ai·Sep 15, 13:12 UTC · 1d agoTools

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Not All Relations Are Equal: Relation-Balanced and Calibrated Graph Learning for Provenance-Based Intrusion Detection

RECAL improves provenance-based APT detection with relation-balanced masked graph learning and calibrated errors, reaching 99.99% F1 on DARPA E3 datasets.

RECAL is an unsupervised framework for provenance-based intrusion detection that uses relation-balanced masked graph learning to capture rare interaction patterns, addressing statistical heterogeneity where relation frequencies differ by roughly 140,000X in CADETS. It calibrates reconstruction errors against each relation's benign error distribution to produce comparable anomaly evidence and reduce false alarms. On three DARPA E3 datasets, RECAL achieves F1 scores of 99.99%, 99.93%, and 99.99%, outperforming the best baseline on each dataset, and reduces mean false positive rate by approximately 105X, 4X, and 41X versus the lowest-FPR baseline.

arXiv cs.CR·Sep 15, 00:31 UTC · 1d agoResearch

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Subgroup Membership Inference Audits of Differentially Private Synthetic Text

Audits of 32 differentially private synthetic-text releases show subgroup membership leakage is concentrated in few records and systematically underestimated by average-case attacks.

The paper defines a subgroup-targeted membership inference game in which the target pool is an explicit parameter, to audit residual leakage in differentially private synthetic text releases. The audit instantiates 32 proxies across four datasets, three generators (DP-SGD fine-tuning, API-based prompting, and activation steering), and five privacy budgets. DP substantially reduces average leakage at every budget, but remaining leakage is concentrated: roughly a tenth of records carries about 40% of it, and the noise removes more measured leakage from random records than from high-risk ones. Which records leak depends on the release mechanism, so record-level risk cannot be assessed independently of the release.

arXiv cs.CR·Sep 9, 07:56 UTC · 7d agoResearch

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AI is making fraud harder to spot and identity harder to prove

Experian's 2026 report finds AI-generated scams, deepfakes and synthetic identities spreading across digital channels, pushing businesses toward adaptive identity verification and 'Know Your Agent' checks.

Experian's 2026 US Identity & Fraud Report, based on consumer and business surveys, found 60% of consumers aware of AI-generated image/video scams, 53% of AI phishing, and 47% of deepfake voice impersonation. 80% of US businesses already use machine learning or generative AI in fraud management, while AI chatbot account openings rose from 16% in 2025 to 27%. The report highlights adaptive authentication, behavioral biometrics, and emerging 'Know Your Agent' controls as AI agents begin acting on behalf of customers.

Help Net Security·Aug 20, 00:00 UTC · 27d agoPhishing & fraud

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Identity-as-a-Service: Uncovering Dark Web Marketplaces Trading Executive SSNs

Rapid7 research uncovered dark web marketplaces trading executive Social Security numbers, fueling synthetic identity fraud and unauthorized lines of credit.

Rapid7 threat research documents dark web marketplaces where stolen executive Social Security numbers are bought and sold, a tier of the cybercrime ecosystem more durable than stolen payment cards because SSNs cannot be deactivated. Exposed SSNs enable unauthorized credit lines, synthetic identity fraud, and long-term impersonation. The article cites FTC statistics of over 1 million identity theft reports annually, with related fraud and imposter scams causing billions in losses each year.

Rapid7 Blog·Aug 27, 13:51 UTC · 20d agoResearch

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FBI investigates breach of 153 million driving license records at IDscan.net

Scans of 153 million driver's licenses, traced to IDscan.net and including Pete Hegseth and Brian Krebs, were offered for sale on the dark web.

Digital scans of 153 million driver's licenses appeared for sale by a user on the Russian cybercrime forum Exploit, alongside over 10 million ID cards, 3 million travel documents, and 579,000 medical cards sold through a site called Nexus. KrebsOnSecurity traced the leak to identity verification provider IDscan.net, whose customers include car rental company Hertz, and victims reportedly include US Defense Secretary Pete Hegseth. The FBI has opened an official inquiry into the source of the images, and IDscan.net has not issued an official statement.

CSO Online·Sep 4, 13:47 UTC · 12d agoData breach1

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America's Driver's License Breach Is a National Security Disaster

Dark web service Nexus sells 153 million US/Canadian driver's licenses linked to a breach of identity verifier IDScan.

Krebs on Security revealed a dark web service, Nexus, selling access to 153 million driver's licenses and 3 million travel documents from US and Canadian citizens, roughly 63 percent of all US licenses. Circumstantial evidence links the data to identity verification firm IDScan, which confirmed it is investigating a breach, and the FBI is probing the incident. Licenses belonging to senior US officials, including Pete Hegseth, an FBI assistant director, and Krebs's own contacts were verified as genuine. The exfiltration appears ongoing, with the database growing by nearly 400,000 licenses in a single day, and the data carries significant national security value for foreign intelligence services.

Hacker News · security·Sep 15, 15:58 UTC · 1d agoData breachHN 26↑ · 4 comments3· 1 read

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