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334 articles · page 10 of 17

Detecting Backdoored Language Models at Scale — Practical Scanner

🔍 Microsoft researchers released new findings and a practical scanner for detecting backdoors in open-weight language models. The study identifies three signatures — a distinctive “double triangle” attention pattern, leakage of poisoning training data through memorization, and trigger “fuzziness” — and uses them to reconstruct likely triggers without retraining. The scanner requires only forward passes, works on GPT-like models, and was validated across 270M–14B models and common fine-tuning regimes. The team notes limits: it needs model file access, favors deterministic backdoors, and should be used as part of layered defenses.
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Massive Citrix NetScaler Scans Use Residential Proxies

🔎 GreyNoise observed a coordinated reconnaissance campaign from Jan 28–Feb 2 that used tens of thousands of residential proxies to discover Citrix NetScaler/Citrix Gateway login panels and enumerate product versions. Over 63,000 distinct IPs launched 111,834 sessions, with roughly 64% appearing as residential ISP addresses and the remainder linked to a single Azure IP. The scans concentrated on /logon/LogonPoint/index.html and the EPA artifact /epa/scripts/win/nsepa_setup.exe, indicating pre‑exploitation mapping and version‑specific probing. GreyNoise recommends monitoring anomalous UA strings, flagging EPA artifact access, restricting internet‑facing Gateways, and disabling version disclosure.
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Nearly 400 Malicious OpenClaw Crypto Trading Skills

⚠️ Security researcher Paul McCarty (aka 6mile) has identified 386 malicious OpenClaw "skills" on the ClawHub repository that impersonate crypto trading tools. The add-ons use social engineering to trick users into executing commands that deploy infostealers on macOS and Windows, harvesting exchange API keys, wallet private keys, SSH credentials and browser passwords. The discovered skills share a common C2 IP (91.92.242.30) and many remain available, with the most active uploader accounting for nearly 7,000 downloads.
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AI Agent Identity Management: New Control Plane for CISOs

🔐 AI agents—custom GPTs, copilots, coding agents and other autonomous tooling—are proliferating in production while remaining largely outside traditional IAM, PAM, and IGA controls. The piece argues for treating agents as a distinct identity class and applying continuous identity lifecycle management to ensure visibility, ownership, dynamic least privilege, and auditability. Rather than slowing adoption, this approach positions identity as the control plane for balancing innovation and security.
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Over 80% of Ethical Hackers Now Use AI in Workflows

🤖 Bugcrowd's survey of 2,000 security researchers found 82% now incorporate AI into their workflows, up from 64% in 2023. Respondents highlighted automation of repetitive tasks, analysis of messy or large codebases, and AI as a research assistant as primary use cases. Organizations gain faster, more comprehensive and higher-quality findings without necessarily increasing budgets. The report also notes stronger outcomes from team collaboration and outlines key community demographics.
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Airlock Digital Forrester TEI Finds 224% ROI and $3.8M NPV

🔒 The Forrester Consulting Total Economic Impact (TEI) study commissioned by Airlock Digital reports a 224% ROI and a $3.8 million net present value over three years for organizations that adopt Airlock’s allowlisting approach. The analysis cites a >25% reduction in overall breach risk and notes zero breaches among interviewed customers after deployment. It also highlights operational efficiency gains — policy management requiring roughly 2.5 hours per week — and reduced administrative overhead thanks to Airlock’s modern, operationally friendly implementation of allowlisting.
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VoidLink cloud malware shows clear signs of AI generation

🧠 Check Point Research reports that the VoidLink Linux cloud malware framework displays clear evidence of being developed predominantly with AI assistance. The actor used an AI-centric IDE, TRAE, and its assistant TRAE SOLO to produce specification documents, sprint plans, and large portions of source code, which reached a working state within days. Exposed development artifacts — including TRAE helper files and an open directory of source and docs — allowed researchers to match generated specs to the recovered code and reproduce the development workflow, leading Check Point to conclude this is a notable example of AI-driven malware development.
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Azure Private Endpoint DNS Risks Can Cause Service DoS

🔒 Unit 42 researchers discovered an Azure Private Endpoint DNS behavior that can unintentionally or deliberately produce denial-of-service conditions for Azure services. In several scenarios — accidental internal, accidental vendor, and malicious actor — linking a Private DNS zone to a virtual network can force name resolution to the private zone and fail when no A record exists, breaking connectivity to otherwise public endpoints. Microsoft documents a partial mitigation (fallback to internet); alternatives include manually adding DNS records and performing comprehensive discovery with Resource Graph.
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The AI Fix #84: Hungry ghost, data poisoning, Grok

🤖 In episode 84 of The AI Fix, hosts Graham Cluley and Mark Stockley survey a series of recent AI developments that raise practical and philosophical questions. They discuss reports that Grok will be integrated into Pentagon networks, a campaign by insiders to poison training data, and research showing small amounts of tainted data can sway model behavior. The episode also covers Google removing AI health overviews after risky outputs, findings that asking a model the same question twice can improve answers, and surprising advances in automated theorem solving.
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Researchers Exploit XSS in StealC Panel to Gather Evidence

🔍 CyberArk researchers disclosed they exploited a cross-site scripting (XSS) vulnerability in the web panel of the StealC infostealer to retrieve active session cookies and operational metadata. Researcher Ari Novick used the weakness to link a StealC customer, dubbed YouTubeTA, to the theft of roughly 390,000 passwords and over 30 million cookies from victims seeking cracked Adobe software on YouTube. Analysis of hardware fingerprints, language settings, time zones and IP addresses indicated the operator used an Apple Pro with an M3 chip, supported English and Russian, operated in an Eastern European time zone and connected via Ukrainian ISP TRK Cable TV, underscoring how weaknesses in criminal tooling can expose both victims and customers to supply-chain risk.
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XSS Flaw in StealC Panel Lets Researchers Monitor Operators

🔍 Cybersecurity researchers disclosed an XSS vulnerability in the web-based control panel used by operators of the StealC information stealer. By exploiting it they collected system fingerprints, monitored active sessions, and stole session cookies from the infrastructure itself, according to CyberArk researcher Ari Novick. The panel's leaked source code and the stealer's distribution through the YouTube Ghost Network and other lures amplified the operational insights researchers gained. Full technical details were withheld to avoid enabling copycats.
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Researchers Hijack StealC Panels via XSS, Expose Operators

🔒 A cross-site scripting (XSS) flaw in the web control panel for the StealC info‑stealer allowed researchers to observe active operator sessions, capture session cookies and harvest browser and hardware fingerprints. CyberArk exploited the issue to identify an operator’s location and device details after a panel user failed to route traffic through a VPN. The company withheld technical disclosure to avoid a quick fix and said the finding may disrupt StealC’s MaaS ecosystem.
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AI Image Leaks Fuel New Wave of Sextortion Risks Worldwide

⚠️Researchers in 2025 discovered multiple unsecured databases of AI-generated images and videos, many depicting sexualized or fabricated nudes created from everyday photos. Analysis pointed to third-party generative tools such as MagicEdit and DreamPal, which offered explicit editing, face‑swap and clothing‑change features and, in some cases, disabled filters for erotic content. The exposure highlights how generative AI lowers the barrier to producing convincing fake intimate images and broadens the pool of potential sextortion victims. The post urges tightening social media privacy, using tools like Privacy Checker, and monitoring children with Kaspersky Safe Kids.
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Privacy Teams Shrink as Stress and Funding Fall Short

📉 ISACA's State of Privacy 2026 report reveals privacy teams are shrinking and underfunded despite mounting regulatory and technological pressures. The median privacy staff size fell to five from eight year-over-year, and technical privacy roles are notably understaffed while demand for those skills rises. Respondents report increased stress—35% say their role is 'significantly more stressful' and 30% 'slightly more stressful'—attributed to rapid tech evolution, compliance complexity and resource shortages. To close skill gaps, organizations are training interested non-privacy staff and increasing reliance on contractors, consultants and planned AI tools for privacy tasks.
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Palo Alto Networks Automates DORs with Agentic AI Design

🤖 Palo Alto Networks automated creation of its internal Document of Record (DOR) using an agent built with Google's open-source Agent Development Kit (ADK) and hosted on Vertex AI Agent Engine. The agent leverages Vertex AI RAG Engine, Vertex AI Discovery Search, Gemini models, and Cloud Storage to retrieve and synthesize grounded answers to a standardized set of 140+ questions. A FastAPI webserver on GKE orchestrates parallel processing, manages state, and publishes completed DORs back to Salesforce via Cloud Pub/Sub, reducing manual effort and improving consistency.
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G7 Sets 2034 Deadline for Financial PQC Migration Plan

🔐 The G7 Cyber Expert Group has published a recommended roadmap asking financial firms and public entities to complete transition to post-quantum cryptography (PQC) by 2034 to anticipate future quantum-enabled threats. The non-prescriptive guidance outlines six phased activities from awareness and inventory to migration, testing and validation, with overlapping timelines beginning in 2025. It stresses a risk- and standards-based approach, crypto agility and cross-jurisdiction collaboration to reduce fragmentation and enhance interoperability.
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64% of Third-Party Apps Access Sensitive Data in 2026

🔒 New 2026 analysis of 4,700 leading websites finds 64% of third-party applications access sensitive data without demonstrable business justification, rising from 51% in 2024. The report identifies recurring causes such as over-permissioned scripts, shadow deployments via tag managers, and persistent trackers. Specific tools flagged include Google Tag Manager, Shopify apps, and the Facebook Pixel, while government and education sites show marked increases in compromise. The study cautions that governance gaps and limited mitigation adoption leave organizations exposed.
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Transparency and Accountability in Cybersecurity Vendors

🔍 Modern CISOs face growing compliance and supply-chain pressures and must verify security products rather than assume vendor claims. The AV-Comparatives TRACS study assessed 14 EPP/EDR vendors on 60+ transparency criteria — source-code review, SBOMs, audit reports, update controls, and telemetry options — and found few vendors offer comprehensive verification. Kaspersky highlights its global transparency centers, minimal telemetry, and local-processing choices as practical risk-management measures that improve predictability.
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Cybercrime Inc.: Organized Hackers Outpacing IT Defense

🔒 Cybercrime has evolved into a structured, global underground economy that mirrors legitimate corporations, with departments, KPIs, and scalable supply chains. Models like ransomware-as-a-service let nontechnical actors license malware, buy access, and outsource extortion, while payments and sales are managed via closed forums and cryptocurrencies. The result is an efficient, agile adversary that exploits human error, leverages AI for social engineering, and gains a persistent speed advantage over often bureaucratic defenders.
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World Economic Forum: AI, Geopolitics and Rising Cyber Risk

🔍 The World Economic Forum’s Global Cybersecurity Outlook warns cybersecurity risk will accelerate in 2026, driven primarily by advances in AI, deepening geopolitical fragmentation and supply‑chain complexity. Based on survey responses from 804 leaders (including 316 CISOs) across 92 countries, the report finds eroding confidence in national preparedness and divergent priorities between CEOs and CISOs. It highlights both the risk and defensive potential of AI and calls for strengthening collective cyber resilience through collaboration, governance and balanced adoption with robust safeguards.
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