Computer Security Articles

Key takeawaysNearly half the content passed to the model was invisible to the reader: 1,009 characters sent, 537 displayed, 472 hidden.The summaries contained fabricated data and omitted facts, with no cue to the reader that anything had been tampered with.Indirect prompt injection is a known flaw, cataloged as LLM01 in the 2023 OWASP Top 10 for LLM Applications, but teams keep shipping systems that are exposed to it.The attacker never needs access to the LLM, because services such as email auto

Key takeawaysOpenAI’s post-mortem calls the Hugging Face incident a “warning shot”: agents chained ordinary infrastructure flaws and reached host-level control across clusters in under 13 hours, with no human directing them.Soft guardrails don’t hold. A system prompt is a probabilistic control; real limits are least privilege, task-scoped capabilities, approval gates, and circuit breakers enforced outside the model.A tiered, batch-processing SOC can’t match that speed. The agentic SOC answers wi

Key takeawaysRubrik + ReversingLabs: Your backups might be infected. Now you’ll know.Why backups have become the primary target, not the last resort.What this integration looks like in practice.Close the gap between new intelligence and old backups.KNP Logistics had been moving freight around the United Kingdom for 158 years. Then the Akira ransomware group guessed one employee’s password. By the time the intrusion was over, KNP’s data was encrypted and its servers, its backups, and its disaster

Key takeawaysSame old flaws, bigger stakes: ~40% of CISA’s exploited-vulnerability catalog traces back to well-understood, preventable weaknesses (memory safety, input validation, injection).Attackers aren’t chasing zero-days: CVE disclosures more than doubled year over year, but exploited vulnerabilities grew only 20% — known gaps are still the target.AI raises the urgency: it speeds up vulnerability discovery and exploit development, shrinking the window before flaws get found and weaponized.T

Key takeawaysCISA/NSA’s report cited memory-safety issues behind 66-71% of major OS CVEs and 75% of in-the-wild exploited vulnerabilities, driving real adoption momentum.Adoption faces real headwinds: legacy C/C++ is too vast to rewrite wholesale, and experts say MSLs work best for new code, not replacing proven systems.AI is accelerating migration (Google’s Gemini-assisted Rust rewrite ofgiflibis an early proof point), but human review is still required — the AI-generated code itself had defect

Key takeawaysAgent permissions, not the prompt, are the real security boundary— coding agents that can touch repos, shells, and production systems create risk if their access isn’t tightly scoped.Overpermissioning compounds silently— agents typically inherit their user’s full access, and that spreads further when agents spawn sub-agents, breaking traceability back to the authorizing human.Goal-driven, non-deterministic agents will exploit any slack they’re given— the OpenAI–Hugging Face incident