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5 stories in the last 24h

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DomainAllCyberAIWindow24h3d7d30dAllIn the wildImportant onlyShow duplicates
CategoryAllIndustry 3Phishing & fraud 1Ransomware 1Research 1Threat actor 1
SeverityAllcritical 0high 1medium 2low 0info 4

CASHEWS: Source Preprocessor for LLM-based Malicious Package Detection

CASHEWS preprocessor boosts LLM-based malicious npm package detection, raising coverage to 98.8-100% and cutting false negatives by up to 18.6 points.

Researchers present CASHEWS, a JavaScript preprocessor for LLM-based malicious package detection that deobfuscates code iteratively, extracts bundled modules and dynamically executed code, identifies malicious sinks, and computes backward slices to produce compact detector input. Threat actors evade LLM detectors by exploiting limited context windows with high token-density obfuscation and by bundling malicious code with benign packages, as seen in supply-chain attacks such as Shai-Hulud. Across 512 large package files, two scanner types, and three LLMs, CASHEWS raised analysis coverage from 69.1-85.7% to 98.8-100% and reduced false-negative rates by up to 18.6 percentage points. Median preprocessing time is 30 seconds while net analysis cost drops 34.6%.

arXiv cs.CR · 21h agoResearch

Ransomware incidents in Japan in the first half of 2026: Investigation of The Gentlemen’s infrastructure and evidence of Qilin's AI use

Cisco Talos reports 90 ransomware incidents hit Japanese organizations in H1 2026, led by The Gentlemen, with Qilin using AI for efficiency.

Cisco Talos observed 90 ransomware incidents against Japanese organizations from January to July 2026, up about 4.7% year over year, with manufacturing accounting for 34% of victims. The Gentlemen was the most active group with 14 incidents; its leak-site listings grew from 48 in January to 105 in July. Qilin and SafePay followed with seven incidents each, and Talos notes Qilin is leveraging AI to improve operational efficiency.

Cisco Talosupdated · 1h agofirst · 3h agoRansomware in the wild 2 sources

German Manufacturer Shrinks Security Alert Response While Protecting 10,000 Endpoints

Vendor case study: a German manufacturer's five-person SOC cut alert triage time using ANY.RUN's cloud sandbox across 10,000 endpoints.

ANY.RUN published a case study in which a five-person security team at an unnamed German manufacturer replaced an air-gapped forensic laptop with its cloud-managed interactive sandbox, protecting roughly 10,000 endpoints and 10,000 users. The vendor claims a median 15 minutes saved per alert, 20-40 daily tasks processed, a 2.5-minute alert-to-isolation target, and a 95% agreement rate between analyst and sandbox verdicts; all figures are vendor-supplied with the customer identity withheld. The writeup also describes detonating a multi-stage phishing chain from a PDF link to a password-protected ZIP to malware execution.

Cyber Security Newsupdated · 5h agofirst · 22h agoIndustry 3 sources

SilkParasite Hackers Use SpiceRAT Infrastructure to Target Central Asian Governments and Energy Firmsnew

Hunt.io links SpiceRAT C2 infrastructure to the China-nexus SilkParasite espionage cluster targeting Central Asian governments, telecoms, and energy firms.

Hunt.io analysis expanded the SpiceRAT command-and-control footprint tied to SilkParasite, a China-nexus espionage cluster (medium confidence per Bitdefender) targeting government, telecommunications, and energy entities across Central Asia. Five active servers coordinated from mid-March 2026 were clustered via reused hostnames, TLS certificates, and a byte-identical clone of RTX Corporation's webpage found on 13 IPs; a certificate for azure.uzrailwaystax[.]com appeared across eight servers. Domains impersonated Türkmengaz, Tojiktelecom, Turkmenistan's Foreign Ministry, and Uzbek and Kyrgyz bodies, with passive DNS history dating to mid-2022. Impersonated organizations were not confirmed as compromised; Cisco Talos previously linked SpiceRAT to SneakyChef's LNK/HTA infection chains.

GBHackers · 21m agoThreat actor in the wild 2 sources

The sexy AI-powered dating app scams are here

Anthropic exposed a network of roughly 28 AI-driven dating apps using autonomous personas and gig workers to defraud paying users.

Anthropic threat intelligence uncovered a fraud network of around 28 dating apps after a prepaid account sent over 100,000 Claude API requests daily, with most chats run by autonomous AI personas and no human agent. Researchers Matthew Gore-Kormanik and Anthropic's Chris Cronbaugh documented apps including Dora, Romi, and Doni, which monetize conversations via coins; gig workers were hired only to pass liveness checks and select pregenerated replies. An operations manual written in Chinese was found inside the Doni app, and Anthropic published findings in its September 2026 AI misuse report.

The Verge · AI · 22h agoPhishing & fraud in the wild