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Search: “retrieval augmentation”

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CategoryAllVulnerability 28AI safety & security 28Malware 15Ransomware 13Research 9Industry 8AI research 8Data breach 8Exploit / PoC 8Policy & legal 8Threat actor 7Phishing & fraud 6AI tools & infra 4Model release 3
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InceptionRAG: Stealthy Poisoning Attack Against Retrieval-Augmented Generation

InceptionRAG fragments malicious payloads into dormant passages that trigger LLMs to self-deduce misinformation via multi-hop reasoning, bypassing existing RAG poisoning defenses.

Researchers introduce InceptionRAG, a stealthy corpus poisoning attack against retrieval-augmented generation that splits a malicious payload into a chain of individually harmless dormant passages. When retrieved together, the passages induce LLMs to self-deduce target misinformation through multi-hop reasoning, achieving over 80% attack success rate across three datasets and three LLMs under rigorous adversarial constraints. A zeroth-order suffix optimization (ZOSO) method automates authoritative suffix generation in black-box settings. The authors also propose HODOR, a document isolation defense that decouples adversarial logical dependencies.

arXiv cs.CR · 1d agoResearch

Hackers Use LLMs to Generate Exploit Scripts and Automate Post-Exploitation Across Latin America

Unit 42 says Latin American attackers used LLMs to automate post-exploitation in campaigns hitting Mexican government, water utilities, and Brazilian financial firms.

Unit 42 identified two campaigns in Latin America whose operators used commercial LLMs (Claude, GPT-4.1) behind a self-hosted NextChat interface to generate and debug post-exploitation scripts. Cluster CL-CRI-1131 compromised a transportation organization, Mexican federal ministries, and water utilities in Mexico and Ecuador, using native Windows tools and Volume Shadow Copies to dump the SAM registry hive and NTDS.dit. Cluster CL-CRI-1163 targeted Brazilian financial organizations with job-themed phishing, custom RATs, and a Go-based reverse SOCKS5 tunneling utility called SockTz, with nine versions deployed within roughly two hours. Trend Micro tracks related AI-augmented activity as SHADOW-AETHER-040 and SHADOW-AETHER-064.

GBHackersupdated · 6d agofirst · 6d agoThreat actor in the wild 2 sources1

Dark Caracal Deploys New Go Malware With Ethereum-Based C2 Fallback

Dark Caracal targeted a Venezuelan communications organization with new Go-based GoCaracal malware and an updated Bandook backdoor using Ethereum smart-contract C2 fallback.

Arctic Wolf Labs linked a June 2026 intrusion against a communications organization in Venezuela to Dark Caracal, an espionage group associated with Lebanon's General Directorate of General Security (GDGS). The group deployed a previously undocumented Go-based framework called GoCaracal in lightweight and extended builds alongside a Delphi-loaded Bandook backdoor, with delivery via phishing emails carrying weaponized SVG attachments through URL shorteners. The extended build uses a custom Solidity contract, BulletproofC2, on Ethereum to retrieve replacement C2 addresses without redeploying malware, and Arctic Wolf traced 249 related samples from January to July 2026 showing a modular evolution arc.

Security Affairs · 19d agoThreat actor in the wild