Welcome to this week’s edition of the Threat Source newsletter. Our goal is to get accurate threat intelligence to our audience as quickly as possible, with all the context you need to ask the right questions of your own environment: How at risk are we from this threat? Are we prepared for it? And what can we do about it? What you don’t often see is all the... well, frankly, “mess” involved in producing it. All the dead ends we followed until we could confirm those ends were as dead as a…
Explore how attackers targeting Latin American entities use AI for data exfiltration and how basic OpSec errors allow defenders to disrupt operations. The post Attackers Expose Ongoing AI Tool Use Targeting Organizations in Latin America appeared first on Unit 42.
Using autonomous AI agents, an attacker breached an enterprise network in a matter of hours. Understand how to address and defend against agentic attacks. The post An AI-Assisted Cyber Attack: Inside a Unit 42 Investigation appeared first on Unit 42.
Otvorene su prijave na 7. izdanje Hacknite – CTF natjecanja za srednje škole! Ovogodišnje natjecanje donosi nova pravila vezana uz prijavu i korištenje tehnologija umjetne inteligencije. Prilikom prijave timova u obrazac je potrebno upisati @skole.hr adrese prijavitelja i natjecatelja! Tijekom natjecanja je ograničeno korištenje AI alata, a detaljnu uputu što se smije, a što ne pronaći ćete u Pravilima na dnu stranice. Natjecanje u obliku CTF-a (Capture the Flag) namijenjeno je srednjoškolskim…
Introduction Beginning in 2024 Mandiant investigated a string of compromises affecting Brazilian financial services, retail, and eCommerce organizations. Google Threat Intelligence Group (GTIG) tracks this activity as BREEZE COMET (formerly UNC5669), a financially motivated threat actor specializing in manipulating payment systems and banking software in Brazil to conduct fraudulent transfers. This activity overlaps with operations publicly reported as Plump Spider and SHADOW-AETHER-064. In…
One of my internet-exposed inference honeypots was discovered, relabeled with sought-after model names, and incorporated into infrastructure apparently used to provide "free" LLM backends. It then received a real coding-agent session — history, filesystem output, working paths, and the agent's local tool manifest. The honeypot did not request or cause any tool execution; what the request exposed is what a malicious operator in that position could do. Chasing the "free API key" is not new. What…
For the latest discoveries in cyber research for the week of 31st August, please download our Threat Intelligence Bulletin. TOP ATTACKS AND BREACHES Manchester Airports Group, the UK operator of Manchester, London Stansted, and East Midlands airports, has disclosed a cyberattack that exposed data belonging to about 8.7 million customers. The compromised information includes contact details, vehicle registration numbers, and information collected through car park, lounge, fast-track, and Wi-Fi…
Rilevate 8 nuove vulnerabilità di sicurezza, di cui 2 con gravità “critica” e 4 con gravità “alta”, che interessano il software Langflow, nota piattaforma open-source che permette di costruire, testare e distribuire applicazioni e agenti basati su intelligenza artificiale.
New research reveals that AI safety refusal lives in a thin neural layer, highlighting the critical need for external, multi-layered security. The post Perturbation Probing: A New Diagnostic for the Fragility of LLM Safety appeared first on Unit 42.
AI is accelerating vulnerability discovery, putting pressure on systems built to enrich, prioritize, and remediate flaws at a slower pace. Action1 explains why defenders increasingly need to correlate multiple intelligence sources and turn vulnerability data into faster remediation. [...]
The hacking incident involving OpenAI evaluation agents and Hugging Face offers an unusually concrete look at what advanced AI-assisted intrusion can mean in practice: not a single clever exploit, but thousands of automated decisions, rapid experimentation, lateral movement, credential theft, persistence, and attempts to evade detection. The OpenAI–Hugging Face incident began during internal cybersecurity evaluations using ExploitGym, a benchmark designed to test whether AI agents can identify…
Key Takeaways We identified an exposed server that provided unusual visibility into a large-scale, multi-victim exploitation and collection operation. Artifacts on the host showed that Claude Code and OpenClaw were embedded in the operator’s day-to-day workflow, supporting troubleshooting, orchestration, and refinement of the collection pipeline. This AI-assisted workflow resulted in the modular platform Bissa scanner […] The post Bissa Scanner Exposed: AI-Assisted Mass Exploitation and…