Search: “timing”

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DomainAll Cyber AIWindow24h 3d 7d 30d AllIn the wild Important only Show duplicates

CategoryAll AI industry 29 Industry 16 AI safety & security 10 Data breach 10 AI research 9 Vulnerability 7 Policy & legal 7 Research 7 AI policy 6 Phishing & fraud 5 Advisory 4 Malware 4 Tools 3 Exploit / PoC 2

SeverityAll critical 0 high 17 medium 20 low 2 info 86

CISA promotes a fresh way to deter cyberattackers: Lie to them

CISA issued first-time guidance advising critical infrastructure operators to deploy honeypots, honeytokens, and decoys to detect and distract intruders.

CISA published 'Using Cyber Decoys to Strengthen Detection and Response,' a 22-page guide marking the agency's first guidance on decoys such as honeypots and honeytokens. Acting executive director Chris Butera described decoys as a low-cost, high-fidelity way to detect adversaries already inside networks, complementing zero-trust and assume-compromise approaches. The guidance covers decoy principles, definitions, deployment scenarios, and is aimed especially at resource-constrained critical infrastructure sectors.

CyberScoopSep 16, 20:22 UTC · 15h agoAdvisory

USN-8776-1: python-cryptography vulnerabilities

Ubuntu patches python-cryptography flaws including a PKCS#7 timing side-channel (CVE-2026-69247) that could allow key recovery.

Ubuntu Security Notice USN-8776-1 fixes multiple vulnerabilities in python-cryptography. CVE-2026-69247 describes distinguishable PKCS#7 decryption outcomes with observable timing differences that a remote attacker could exploit to recover encryption keys; it affects Ubuntu 26.04 LTS. CVE-2023-23931, affecting only Ubuntu 18.04 LTS, involves incorrect handling of objects with immutable buffers during cipher operations, causing corrupted output, and a third issue reported by Jack Lloyd is also addressed.

Ubuntu Security NoticesSep 16, 20:12 UTC · 15h agoAdvisory 7 sources CVE-2023-23931 CVE-2026-69247

AI agent authorization risks remain a gap in new NIST-CISA token security guidance

NIST and CISA release IR 8587 guidance on securing signed tokens, but AI agent authorization and delegation risks remain out of scope.

NIST, with CISA support, published 'Protecting Tokens and Assertions from Forgery, Theft, and Misuse' (NIST IR 8587), recommending continuous monitoring and tighter token lifecycle controls for SSO and API access. The guidance does not yet fully address AI agent identity, delegation chains, or prompt injection steering agents with valid tokens, and NIST says new or expanded standards are needed. Experts recommend treating AI agents as low-trust non-human identities, maintaining agent inventories, expiring credentials after task completion, and requiring human approval for high-risk actions. The report references shared-signal mechanisms like CAEP and RISC, and follows a May incident where a CISA contractor GitHub repository exposed AWS and GitHub tokens.

CSO OnlineSep 16, 15:42 UTC · 20h agoAdvisory

Adversary simulation: what you need to know

UK NCSC publishes guidance on adversary simulation, comparing full spectrum and assumed breach approaches across prerequisites, testing, and reporting phases.

NCSC guidance describes two adversary simulation approaches: full spectrum, starting outside the network with an end-to-end attack, and assumed breach, starting from an internal foothold. The preferred methodology spans three phases - prerequisites (scoping, passive reconnaissance, preparation), testing (active reconnaissance, initial access, internal phase, cleanup), and reporting. The document distinguishes adversary simulation from penetration testing and stresses customer-defined objectives and minimal information sharing.

NCSC UKupdated 09:09 UTC · 2h agofirst 08:29 UTC · 3h agoAdvisory 2 sources