Search: “IDScan.net”

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DomainAll Cyber AIWindow24h 3d 7d 30d AllIn the wild Important only Show duplicates

CategoryAll Data breach 12 Exploit / PoC 1 Policy & legal 1 Threat actor 1

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FBI Probes Service Selling 153M+ Drivers Licenses

Dark web service Nexus sells scans of 153M+ US and Canadian drivers licenses, apparently siphoned from a breached identity verification company; FBI opened an inquiry.

A new dark web identity theft service called Nexus, advertised on the Exploit forum, offers scans of more than 153 million drivers licenses from the US and Canada, plus over 10 million ID cards and millions of travel and medical documents. The data appears to come from an ongoing breach at a major Louisiana-based identity verification company, with records growing by roughly 400,000 in 24 hours. Records include high-ranking US officials such as Defense Secretary Pete Hegseth, and timestamps suggest data was captured during car rentals and travel. The FBI's New Orleans field office has launched an official inquiry into the source of the images.

Krebs on SecuritySep 1, 22:40 UTC · 14d agoData breach in the wild

AI-Infra-Guard: Open-source security scanner for AI systems

Tencent's Zhuque Lab open-sourced AI-Infra-Guard, a scanner that fingerprints AI services, checks 1,600+ CVEs, and evaluates MCP skills.

AI-Infra-Guard fingerprints running AI services such as Ollama, vLLM and ComfyUI, checks them against more than 1,600 known CVEs, and inspects MCP servers and agent skills across 14 risk categories. Its SkillTrustBench judging set contains 5,520 human-labeled samples, with false positive rates of 1.20%–18.67% depending on the judging model. Users include ICBC, China Merchants Bank, China Telecom, Lenovo, vivo and Bilibili. Release 4.1.9 hardened scanning agents against indirect prompt injection, and the open-source build ships without authentication, requiring a reverse proxy with Basic Auth or an IP allowlist.

Help Net SecuritySep 9, 05:30 UTC · 6d agoTools

IDScan Confirms Data Breach Following 153 Million Driver’s Licenses Leaked on the Dark Web

IDScan.net confirms a breach after a marketplace advertised over 153 million US and Canadian driver's licenses, possibly exfiltrated continuously for over a year.

The Louisiana identity-verification firm detected unauthorized access on or around September 1, 2026, after the 'Nexus' identity theft service on the Exploit forum began advertising 170M+ people's records, including 153M+ driver's licenses, 10M+ ID cards, 3M+ travel documents, and 579,000 medical cards. Canadian records exceed 1.1 million, and the trove includes commercial licenses, Common Access Cards, and dispensary IDs, with a record for US Defense Secretary Pete Hegseth reportedly included. Nexus operators claim continuous exfiltration for over a year, with the license count growing by nearly 400,000 in 24 hours, suggesting the intrusion may be active. The FBI's New Orleans field office has opened a formal inquiry, and IDScan.net is offering free credit monitoring.

Cyber Security NewsSep 11, 09:59 UTC · 4d agoData breach in the wild 4 sources

How Far Can Synthetic Data Take Thai OCR?

Synthetic-only training adapts PaddleOCR-VL into Wayu-Paxa-OCR-Zero, cutting Thai printed-page CER from 6.64% to 1.24% without real labels.

The study disentangles which factors of synthetic OCR data transfer to real Thai documents, finding typeface diversity, 2D structure, and real handwriting glyphs matter most. Using 45,723 synthetic pages, the authors adapt the 0.9B-parameter PaddleOCR-VL-1.6 into Wayu-Paxa-OCR-Zero, reducing median CER from 6.64% to 1.24% on printed pages and from 74.87% to 20.55% on handwriting. The model outperforms Typhoon OCR v1 7B on all five evaluation sets.

Hugging Face daily papersSep 2, 20:00 UTC · 13d agoAI research

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 OnlineSep 4, 13:47 UTC · 11d agoData breach1

Product showcase: AI Paper Trail shows the privacy cost of talking to AI

Proton launched AI Paper Trail, a free tool that analyzes ChatGPT or Claude exports and reports what personal data can be inferred from AI conversations.

Proton released AI Paper Trail, a free web tool that analyzes the 200 most recent prompts from exported ChatGPT or Claude conversation histories and generates a privacy report with an AI Exposure Score, inferred personal data categories, and an estimated advertising value. In a hands-on test it identified 47 data points, returned a 58/100 exposure score, estimated $185 in advertising value, and flagged five red flags spanning location, interests, finances, and relationships. Proton states that uploaded data is deleted after analysis and is not stored on its Lumo servers.

Help Net SecurityAug 24, 00:00 UTC · 22d agoAI industry

Dark Web Service Nexus Sells 153M+ Driver's Licenses

Dark web service Nexus offered 153M+ US and Canadian driver's license scans, traced to suspected IDScan.net breach; the FBI opened an investigation.

A dark web identity theft service called Nexus began offering searchable access to more than 153 million scanned US and Canadian driver's licenses, plus 10M+ ID cards, 3M+ travel documents, and 579,000+ medical cards. KrebsOnSecurity traced the records to New Orleans identity verification firm IDScan.net, whose clients include Hertz, Target, FedEx, Motorola Solutions, Caesars Entertainment, Jack Henry, and Planet13 dispensaries. The FBI's New Orleans field office opened a formal investigation, and Nexus went offline soon after the story broke. Operators claim exfiltration has been ongoing for over a year, with records growing by roughly 400,000 per day.

Security AffairsSep 4, 07:04 UTC · 11d agoData breach

Studying Image Tokenizers as Visual Languages in Unified Multimodal Models

A controlled pure-autoregressive testbed shows task-specific validation losses rank image tokenizers differently, with I2T loss the most consistent signal.

Researchers built a controlled pure-autoregressive testbed and tracked task-specific validation losses during multimodal continual pretraining across text, image, text-to-image (T2I), and image-to-text (I2T) prediction. They find losses should be analyzed per task because they exhibit distinct scaling behavior and rank tokenizers differently, and that the loss-performance relationship depends on the predicted token space. I2T loss, computed over a shared text vocabulary, correlates consistently with both generation and visual understanding performance after supervised finetuning. Case studies revisit the discriminator, semantic supervision, and vocabulary size as tokenizer design axes.

arXiv cs.AI / cs.LG / cs.CLSep 8, 17:57 UTC · 7d agoAI research1

Multiple Class Action Lawsuits Filed Against IDScan

At least four class-action lawsuits filed against IDScan.net over an alleged breach exposing 153 million driver's licenses; FBI investigating.

At least four class-action lawsuits were filed in the US District Court for the Eastern District of Louisiana against IDScan.net following reports of a potential mega-breach of driver's license data. A Russian cybercrime forum service called Nexus claimed over 153 million driver's licenses, mainly American and Canadian, plus over 10 million ID cards, travel documents, and medical cards. The FBI is investigating the incident, which was first reported by journalist Brian Krebs, and IDScan.net says it is investigating. IDScan.net provides B2B ID verification services for clients including Hertz, FedEx, and hundreds of US cannabis dispensaries.

Infosecurity MagazineSep 7, 09:10 UTC · 8d agoData breach

Studying Image Tokenizers as Visual Languages in Unified Multimodal Models

A controlled autoregressive testbed shows validation losses must be analyzed per task, and image tokenizer choice affects joint multimodal text modeling.

Researchers built a pure-autoregressive testbed to study image tokenizers as the 'visual language' of unified multimodal models, tracking task-specific validation losses during multimodal continual pretraining across text, image, text-to-image (T2I), and image-to-text (I2T) prediction. They found that losses exhibit distinct scaling behavior per task and rank tokenizers differently, and that I2T loss over a shared text vocabulary gives a more consistent loss–performance signal than T2I loss. Better reconstruction does not necessarily yield lower task-specific losses or stronger downstream performance, and tokenizer choice can affect text modeling under joint optimization. Case studies examine the discriminator, semantic supervision, and vocabulary size design axes.

Hugging Face daily papersSep 7, 20:00 UTC · 8d agoAI research1

I rented a car, and within hours, my driver's license was for sale

Dark-web site Nexus is selling about 153 million driver's license scans, apparently harvested near real time from IDScan.net's service used by Hertz and others.

KrebsOnSecurity reported that the dark-web marketplace Nexus offered roughly 153 million driver's license scans for sale, including the author's license shortly after it was scanned at a car rental. New scans appeared within hours to a day of presentation, implying near real-time access to data flowing through IDScan.net's ID scanning service, which lists Hertz and 11 other companies as customers and captures infrared and ultraviolet spectra. License listings grew by about 400,000 over 24 hours, indicating the leak was ongoing. Nexus went dark hours after the report, and the FBI is investigating.

Ars Technica · SecuritySep 2, 20:32 UTC · 13d agoData breach

Few-Shot Learning for Network Intrusion Detection: Methods, Datasets, and Performance

A PRISMA-style review of 21 few-shot learning studies for network intrusion detection finds meta-learning and CNNs dominant and evaluation inconsistently reported.

The systematic review screened 1,358 records from ACM Digital Library, IEEE Xplore, and Scopus covering 2022-2026 and retained 21 studies on few-shot learning for network intrusion detection. Meta-learning (8 studies) and convolutional neural networks (10) are the most common approaches, while CIC-IDS2017 and CSE-CIC-IDS2018 are the most frequently used datasets. Most evaluations use five or fewer samples per class, and missing parameters and source code limit reproducibility and direct comparison.

arXiv cs.CRSep 10, 09:07 UTC · 5d agoResearch1

153M+ driver’s licenses for sale on new dark web platform

New dark web platform Nexus is selling 153 million driver's license scans; FBI investigates apparent breach of IDScan.net.

A dark web platform called Nexus claims to sell more than 153 million driver's license scans, 10 million ID cards, 3 million travel documents, and 579,000 medical cards including marijuana dispensary cards. KrebsOnSecurity linked the trove to identity verification provider IDScan.net, with records reportedly containing front-and-back images plus infrared and ultraviolet scans and timestamps matching holders' travel or car-rental activity. The FBI's New Orleans field office opened an investigation into the apparent breach; IDScan.net says it is investigating.

Malwarebytes LabsSep 2, 10:03 UTC · 13d agoData breach

Identifying Agentic Automation with Behavioral Telemetry

Akamai describes detecting autonomous AI browser agents like Comet using Masked Autoencoder Transformer models on sparse behavioral telemetry.

Akamai researchers present a behavioral telemetry approach for identifying agentic automation in web traffic. Masked Autoencoder Transformer models are used to detect the sparse behavioral signals produced by autonomous AI browser agents such as Comet. The work targets traffic classification and bot detection rather than a specific vulnerability, and becomes more relevant as agentic browsing adoption grows.

Akamai BlogAug 19, 19:00 UTC · 27d agoAI safety & security1

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 MagazineSep 3, 09:33 UTC · 12d agoData breach in the wild

Scores Alone Do Not Prove Discovery: The Discovery Certification Protocol for Auditing AI Research Agents

Researchers introduce the Discovery Certification Protocol, an auditable test framework that verifies whether AI research agents' claimed discoveries are genuine.

The Discovery Certification Protocol (DCP) converts AI research agents' discovery claims into executable recovery and feedback tests organized as gated audits. Controlled audits in SQLite optimization and virtual catalyst control produced zero recoveries in 96 episodes, with an upper bound of 0.0468. A deterministic, LLM-free verifier reproduces audit decisions from frozen evidence, giving AI research a common evidence language for outcomes, alternative routes, and feedback effects.

Hugging Face daily papersSep 6, 20:00 UTC · 9d agoAI research

14th September – Threat Intelligence Report

Check Point weekly digest: Microsoft's record 974-vuln Patch Tuesday ships two actively exploited Windows zero-days; IDScan.net, Mathspace, Revolut suffer breaches.

Microsoft's September 2026 Patch Tuesday addressed a record 974 vulnerabilities, including two actively exploited privilege-escalation zero-days, CVE-2026-85880 and CVE-2026-81963, plus 20 flaws allowing unauthenticated remote code execution. Disclosed breaches include IDScan.net (identity documents), Mathspace (over 1 million people via Metabase CVE-2026-72898), Revolut, and Florida DMV (ShinyHunters). GitLab fixed critical CVSS 10.0 path traversal CVE-2026-85706, and MikroTik fixed chainable RouterOS flaws CVE-2026-67276 and CVE-2026-86060. The report also covers the PuzzleMask LLM jailbreak technique, GoldFactory's Gigabud Android fraud, and the BlueMoon Chromium exploit chain (CVE-2026-85046).

Check Point ResearchSep 14, 12:22 UTC · 1d agoExploit / PoC in the wildCVE-2026-72898 CVE-2026-85880 CVE-2026-81963+4 CVEs2· 1 read

Introducing the CyberAgents Exchange AI Inspector: Rigorous review for community-built AI

Tenable and OpenAI launch the CyberAgents Exchange AI Inspector to security-review community-submitted AI agents, MCP servers, and skills using GPT Cyber models.

Tenable and OpenAI announced the CyberAgents Exchange AI Inspector, unveiled at OpenAI's "Intelligence at Work: Cyber Summit," to vet community-submitted AI agents, skills, MCP servers, and multi-agent playbooks in the CyberAgents Exchange registry. The process combines Tenable One AI Exposure scanning, OpenAI GPT Cyber model assessment, and human review, with reviews anchored to specific Git commits. The registry launched in August and hosts over 100 AI listings; the Inspector is expected to be available in September and has already detected prompt injection implemented via invisible Unicode tag characters in a SKILL.md file.

Tenable BlogSep 9, 13:00 UTC · 6d agoTools

ThreatsDay: CEO Phishing Kits, 5K Dropbox Account Hacks, OAuth Traps + 17 More Stories

Microsoft warns of Teams IT-impersonation intrusions deploying Node.js implants; Spring Ring vishing hit 150+ employees across 10 companies; The Gentlemen ransomware claims 683 victims.

Microsoft warned of a human-operated campaign abusing Teams external collaboration to impersonate IT help desk staff, deploy malicious MSI packages staging Node.js runtimes and obfuscated JavaScript implants, then pivot to domain controllers over WinRM. Unit 42 documented the Spring Ring vishing operation targeting over 150 employees across at least 10 companies using 26 attacker identities, including an NTLM relay variant against domain controllers. Sophos reported The Gentlemen ransomware (Gold Sherwood) reached 683 total victims by end of July 2026, adding 169 in July, with a playbook using BYOVD-based EDR killers and backup tampering. Group-IB found the Outsider phishing-as-a-service platform created 700+ new phishing pages within a month despite law enforcement takedowns.

The Hacker NewsSep 3, 18:02 UTC · 12d agoThreat actor in the wild1

LandingAI Releases Agentic Document Extraction Gen2 with DPT-3 Pro and DPT-3 Verity

LandingAI shipped Agentic Document Extraction Gen2 with DPT-3 Pro and DPT-3 Verity parsing models, adding usage-based billing, block-tree outputs, and word-level grounding.

LandingAI has generally released Agentic Document Extraction Gen2, rebuilt around two parsing models: DPT-3 Verity for deterministic transcription of digital documents with per-word bounding boxes and confidence scores, and DPT-3 Pro for layout-aware parsing of scans, handwriting, non-Latin scripts, and LaTeX math. Billing changes from a flat 3 credits per page to a page-plus-output-character model (Pro: 1 credit/page plus 0.5 credits per 1,000 output characters on priority; Verity: 0.3 plus 0.2), with an asynchronous standard tier at 0.5x price and vendor-claimed 25-80% cost reductions. Parse v2 returns a document-page-block tree with semantic IDs, normalized bounding boxes, and line- or word-level atomic grounding, replacing flat chunks; Gen1 client code will not run against Gen2 endpoints. Deployment options include US/EU cloud, VPCs on AWS, Azure, and Google Cloud, Snowflake, and air-gapped on-premises environments, with automated model routing planned for fall 2026.

MarkTechPostSep 10, 02:13 UTC · 5d agoAI tools & infra

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 RecordSep 10, 18:55 UTC · 5d agoData breach in the wild

When the prompt becomes the payload: A practical pen-testing guide for GenAI, LLM and RAG applications

CSO Online publishes a practical penetration-testing guide for GenAI, LLM, and RAG applications, covering prompt injection, retrieval poisoning, and tenant isolation testing.

The guide frames LLM applications as attack graphs spanning prompts, retrieval layers, vector stores, tools, identities, and downstream APIs, arguing that conventional web testing misses instruction-vs-data channel risks. It builds on OWASP prompt injection guidance (direct vs. indirect injection) and NIST's 2025 adversarial machine-learning taxonomy, noting that RAG and fine-tuning do not remove injection risk. Recommended practices include documenting trust transitions across components, using canaries and synthetic records to avoid test side effects, running multi-turn and obfuscated injection campaigns, and verifying chains from poisoned documents to observable state changes. It also details testing RAG pipelines via controlled document poisoning across metadata, OCR layers, and code comments, plus cross-tenant isolation checks on retrieved document IDs.

CSO OnlineSep 9, 10:00 UTC · 6d agoAI safety & security1

Risky Bulletin: Russia tells data centers to deploy drone defenses

Russia ordered data center operators to deploy drone strike defenses under a Putin decree allowing temporary state takeover of unprotected critical infrastructure.

The Russian government instructed data center operators to deploy protections against drone strikes under a presidential decree signed by Putin that allows temporary state administration of critical infrastructure operators failing to defend against Ukrainian hacks and drone strikes. Although data centers are not formally critical infrastructure in Russia, the decree applies to them because other sectors depend heavily on cloud services; Russia has more than 180 data centers, over 80% in the European region within range of Ukrainian strikes. The digest also reports a Dropbox breach affecting nearly 5,000 accounts via the Lenovo ID integration, spyware attacks on at least 14 Serbians using NoviSpy or Pegasus, and a password recovery attack targeting hundreds of thousands of X accounts tied to the new X Money service. Other items include a 14-hour compromise of Coder's Cloudflare infrastructure delivering malicious Terraform modules, donor data breaches at Davayte and You Are Not Alone via the Stripe/WooCommerce integration, a $2.5M Aquifer crypto heist, and a TVING breach exposing data of almost 40 million accounts.

Risky Business NewsSep 4, 03:02 UTC · 11d agoPolicy & legal

Real-World Knowledge-Guided Change Data Synthesis for Remote Sensing

Researchers introduce KnowChange, a framework that uses pretrained vision-language models to synthesize realistic change-detection training data for remote sensing.

KnowChange is a knowledge-guided change data synthesis framework that leverages pretrained vision-language models to reason about plausible change locations and class transitions from pre-change scenes and desired change types. It addresses the limited class-transition coverage and inflexibility of handcrafted rule-based synthesis methods, enabling diverse change types in a unified pipeline. Experiments show KnowChange-generated data outperforms existing synthetic datasets in both synthetic-to-real transfer and synthetic data augmentation, despite compact generation scale.

Hugging Face daily papersAug 24, 20:00 UTC · 22d agoAI research

ShinyHunters claims Florida DMV breach, puts data on the clock

ShinyHunters claims it breached Florida DMV's DAVID database, stole 200,000+ driver records including SSNs, and set a September 11 extortion deadline.

The ShinyHunters extortion group claims it breached the Florida Department of Highway Safety and Motor Vehicles' DAVID driver and vehicle database and stole more than 200,000 records. As evidence it published a screenshot of a Jeffrey Epstein record showing address, Social Security number, date of birth, license number and registered vehicles, and set a September 11 deadline before publication. The group says it obtained access through a password-reset weakness, compromised employee accounts, and queried and downloaded driver records and images. The Florida DMV has not confirmed the claim; it follows a separate confirmed IDScan.net breach exposing over 153 million license scans that prompted an FBI investigation.

CSO Onlineupdated Sep 11, 20:00 UTC · 4d agofirst Sep 9, 11:25 UTC · 6d agoData breach in the wild 3 sources1

Identifying Agentic Automation with Behavioral Telemetry: Part 2

Akamai details behavioral telemetry signals for identifying agentic automation traffic in the second part of its research series.

Akamai published part two of its series on identifying agentic automation using behavioral telemetry. The post appears on Akamai's security research blog and focuses on detecting AI-agent-driven traffic. Full article text was unavailable at classification time, so classification relies on the title and source.

Akamai BlogAug 27, 12:00 UTC · 19d agoResearch

OpenAI says GPT-6 Astra can find zero-days, but is also harder to monitor

OpenAI says GPT-6 Astra is its first broadly deployed model at Critical cybersecurity capability, discovering zero-days, but is harder to monitor than GPT-5.6 Sol.

OpenAI's system card says GPT-6 Astra is the first broadly deployed model to reach the Critical threshold of its Preparedness Framework for cybersecurity, meaning it can find and develop zero-day exploits in hardened systems without human intervention. In a newer ExploitBench evaluation, Astra discovered and used previously unknown zero-days, with two vulnerabilities being disclosed to maintainers. Astra produced 34 severity-3+ misalignment flags versus 73 for GPT-5.6 Sol, and indirect prompt injection robustness rose from 96.23% to 99.79%. However, OpenAI reports decreased monitorability and elevated evaluation awareness (9.6% of trajectories vs 2.8%), though it found no evidence of steganographic reasoning.

BleepingComputerSep 8, 14:40 UTC · 7d agoAI safety & security1

GeoNetwork Fixes Unauthenticated RCE Chain Affecting Government Geoportal Backends

GeoNetwork patched two chained flaws (CVE-2026-63219, CVE-2026-58400) enabling unauthenticated RCE in government geospatial metadata catalogs.

Two flaws in the open-source GeoNetwork catalog chain into unauthenticated RCE: a missing authorization check on the formatter upload endpoint (CVE-2026-63219, CVSS 8.6) and an unsafe Saxon XSLT processor configuration allowing Java execution (CVE-2026-58400, CVSS 9.1). Fixes shipped in versions 4.4.12 and 4.2.17 on July 8, 2026, with details published August 31. Ethiack fingerprinted 121 internet-exposed vulnerable deployments across 39 countries, 89% tied to government or military agencies. No exploitation in the wild or KEV listing was reported at disclosure.

The Hacker NewsSep 2, 09:18 UTC · 13d agoVulnerability CVE-2026-63219 CVE-2026-58400 CVE-2024-36401+1 CVEs

Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation

Benchmark Radar provides a living searchable database of 1,283 AI benchmark records and 12,916 score observations drawn from 37 daily discovery sources.

Benchmark Radar combines daily discovery of benchmark papers, repositories, datasets, and releases from 13 direct connectors and 24 first-party feeds into a searchable catalog with model card mentions and score histories. The catalog contains 1,283 source records drawn from 4 benchmark catalogs plus 12,916 numeric observations on 790 records. The release includes a web dashboard with leaderboard, Pareto frontier of score versus usage, saturation and trend views, daily feeds, a CLI, and reproducible analysis. The paper audits the full catalog and examines benchmark saturation and limits of score comparisons.

Hugging Face daily papersSep 9, 20:00 UTC · 6d agoAI research

Technical Manual for a Toolkit for Measuring Contextual Individuation in Transformer Language Models

An open methodology toolkit measures whether transformer language models contextualize fixed word forms across domains using bridge forms and layer-wise silhouette analysis.

The manual documents an open toolkit built around 'bridge forms' - identical written words recurring across two or more subject domains with a different sense in each - to test whether transformer language models individuate word occurrences by context beyond the embedding layer. It covers declarative specification of bridge forms, Wikipedia corpus acquisition, occurrence localization, layer-wise representation extraction, domain-pairwise silhouette measurement, and visualization, justifying each choice against failure modes such as sense contamination and subword-tokenization misalignment. It is a methodological and implementation reference and reports no empirical results.

arXiv cs.AI / cs.LG / cs.CLSep 4, 16:38 UTC · 11d agoAI research

The Pelican comparison grid for Astra is pretty interesting

Simon Willison's pelican SVG comparison shows GPT-6 Astra producing markedly better images than GPT-5.6 Sol, Terra, and Luna across reasoning levels.

Willison generated pelicans-riding-bicycles SVGs with newly accessed GPT-6 Astra at low through max reasoning levels and rendered them in a comparison grid against GPT-5.6 Sol, Terra, and Luna. Astra's outputs were markedly more coherent, while even the best GPT-5.6-Sol images remained largely abstract shapes. Astra does not support a reasoning=none setting, so all comparisons involved reasoning-enabled runs.

Simon WillisonSep 4, 23:59 UTC · 10d agoAI research

Atlas: Efficient Verifiable Semantic Search

Atlas delivers zero-knowledge proofs for HNSW semantic search, verifying RAG retrieval in under a second on SIFT1M and 2.0 seconds at 100M vectors.

Atlas lets a search provider prove that a query was answered correctly against a committed HNSW index without revealing the index, addressing provider deviations like truncation or bias. It combines offline preprocessing, a fixed-size-state restructuring of HNSW with a correctness proof, and timestep-tagged batching of per-step arguments. The system proves queries in under a second on SIFT1M and 2.0 seconds at 100 million vectors while preserving plaintext HNSW recall, and proven retrieval maintains end-to-end RAG answer quality at lower cost than prior verifiable retrieval systems.

arXiv cs.CRSep 10, 17:30 UTC · 5d agoResearch1

Metasploit Wrap Up: Payloads and Exploits, and Scanners, Oh my!

Rapid7's weekly Metasploit roundup highlights newly added exploit modules, payloads, and scanners in the Metasploit Framework.

Rapid7 published its weekly Metasploit Wrap Up summarizing community contributions to the Metasploit Framework, including new exploit modules, payloads, and scanners. No article text was available; the post serves as a routine digest for practitioners tracking newly packaged modules.

Rapid7 BlogAug 28, 14:57 UTC · 18d agoTools

Autoencoder Is All You Need: Profiling and Detecting Malicious DNS Traffic

Palo Alto Unit 42 details an autoencoder-based method that profiles DNS traffic to detect C2 and malicious domains, blocking ~374,000 malicious DNS requests daily.

Unit 42 built an RNN-based autoencoder that compresses DNS traffic time series into fixed-dimensional 'DNS profiles' for each domain and device. Downstream classification, clustering, and anomaly detection modules flag suspicious domains, capturing 170 emerging suspicious domains in May 2024. Signatures block roughly 374,000 malicious DNS requests daily and run in the Advanced DNS Security service, with detections shared to Advanced URL Filtering. Case studies link DNS traffic patterns to C2 beaconing, dynamic DNS abuse, and DNS tunneling for data exfiltration.

Palo Alto Unit 42Aug 17, 12:47 UTC · 29d agoResearch

ClearFake WebDAV infection chain delivers Amatera stealer, ZigCryptoStealer, and NetSupport Manager

Cisco Talos details ClearFake WebDAV chains delivering Amatera stealer to a Ukrainian government organization, with cryptocurrency and credential theft payloads.

Cisco Talos investigated DLL executions named 'verification.google' via WebDAV UNC paths at a Ukrainian government organization, tracking the actor as UAT-10820 and assessing with moderate confidence the activity is Russian and opportunistic rather than targeted. The infection chain uses ClearFake JavaScript injected via a Cloudflare Worker, EtherHiding storage on BNB Smart Chain contracts, and a ClickFix fake Google CAPTCHA prompt to deliver Amatera stealer. Secondary payloads differ by C2: one loader deploys ZigCryptoStealer with a Go reverse TCP proxy and a vulnerable driver that kills EDR, while the other installs an unauthorized NetSupport Manager with a Russia-based C2. Similar Amatera chains were separately documented by Malwarebytes and Blackpoint Cyber, but with no shared infrastructure.

Cisco TalosSep 8, 10:01 UTC · 7d agoMalware in the wild1

Ambient @ EgoLongQA 2026: Distilling Long-Video perception into a Sub-2B Model

Ambient team wins EgoLongQA 2026 sub-2B division by distilling an agentic long-video perception pipeline into a 2B vision-language model.

Ambient's entry to the EgoLongQA track of the Wearable-AI Challenge at ECCV 2026 placed first in the <=2B parameter division with 0.8279 on the held-out test set. The system distills the junior perception module of a tool-using agentic pipeline into a 2B student, reaching 89% of the pipeline's accuracy with 1.1% of its parameters and lifting a 27.1% base model to 81.4%. To meet the division limit, the multilingual embedding table is pruned from 248,320 to 143,469 rows, reaching 1.9985B parameters with provably identical logits on retained rows.

Hugging Face daily papersSep 9, 20:00 UTC · 6d agoAI research

VDiff-Bench: A Challenging Benchmark for Fine-Grained Image Difference Identification

VDiff-Bench, a 1,756-question benchmark, shows multimodal LLMs struggle with fine-grained image-difference identification, scoring as low as 8.7% on low-level changes.

VDiff-Bench is a multiple-choice benchmark of 1,756 four-way questions over image pairs covering 10 change categories including position, motion, color, texture, OCR/text and illumination, with curated hard negatives. Evaluation of 11 state-of-the-art open- and closed-source MLLMs shows fine-grained visual comparison remains brittle: 7-8B-scale open-source models score 52.5-70.6% on semantic changes but only 8.7-33.3% on low-level changes like noise and texture. Notably, Grok 4.3 shows a sharp performance drop on noise and texture differences, falling behind large open-source models like Kimi K2.5 and K3.

Hugging Face daily papersSep 4, 20:00 UTC · 11d agoAI research

Evidence-Grounded Retrieval for Investigation Hunt Lead Generation from CTI Reports

AHLERT generates environment-aware threat hunting leads from CTI reports using ATT&CK-seeded knowledge graph retrieval, roughly doubling F1 over flat-RAG baselines.

The paper introduces AHLERT, a system that converts Cyber Threat Intelligence reports into structured, investigable hunt leads via hybrid dense retrieval with multi-hop traversal over an MITRE ATT&CK-seeded knowledge graph and ontology-grounded RAG constrained to the defender's assets. It is LLM-agnostic and evaluated on public CTI reports for well-known APTs across proprietary and open-weight models. Hybrid evidence retrieval with ontology grounding raises mean F1 from 0.44 to 0.85, and AHLERT attains the highest effectiveness score (~86.95%) versus off-the-shelf LLMs.

arXiv cs.CRSep 8, 14:21 UTC · 7d agoResearch

Do AI Coding Assistants Check Before They Install? A Pre-Registered Demand-Side Audit of Trust Signals in the Research Software Supply Chain

Pre-registered audit finds AI coding assistants verified provenance signals in only 9 of 1,920 trials before installing research software packages.

The study tested whether AI coding assistants check machine-readable trust signals such as SBOMs, signed releases, and provenance attestations before installing six open-source research software projects spanning HPC and quantum computing. Three models under two operating modes produced 1,920 registered trials scored from container logs. Provenance signals were opened in only 9 of 1,920 trials (0.5%) and zero of 384 control trials, with no trial running a verification command. The authors conclude publishing signals is insufficient and verification must be built into the program running the assistant.

arXiv cs.AI / cs.LG / cs.CLSep 7, 16:55 UTC · 8d agoAI safety & security

CrossLink: Breaking Location Privacy by Linking Device Identifiers Across Protocols

Researchers present CrossLink, a passive tracing algorithm linking temporary device identifiers across LTE, WiFi, and BLE, reconstructing full traces for 83% of simulated users.

Smartphones emit temporary identifiers simultaneously over LTE, WiFi, and BLE, and per-protocol randomization defenses implicitly assume their protections compose across protocols. CrossLink is an uncertainty-aware tracing algorithm that stitches device identifiers across time, space, and protocols even when the adversary is fully passive and rotations are unsynchronized. In large-scale mobility simulation it reconstructs full traces for 83% of users versus 22% for the best single-protocol baseline. It remains effective under partial sniffer coverage, including strategically placed sniffers near LTE handover regions, mobile sniffers, and limited high-coverage subregions.

arXiv cs.CRSep 9, 09:51 UTC · 6d agoResearch