[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fL-uYAgZYwf7nNN3-bz62PNFOrEOOnUQZK5tF-QjFfJE":3},{"article":4,"iocs":55,"watch_terms":60,"solutions":61,"lesson":121},{"id":5,"title":6,"slug":7,"summary":8,"ai_summary":9,"brief":10,"url":11,"image_url":12,"published_at":13,"ingested_at":14,"relevance_score":15,"entities":16,"category_id":32,"category":33,"article_tags":37},"31425605-c072-4fe3-8470-c7047d18e2e7","Claude AI Just Cracked a Post-Quantum Test Scheme and Found a Faster 7-Round AES Attack","claude-ai-just-cracked-a-post-quantum-test-scheme-and-found-a-faster-7-round-aes-834f71","Anthropic says Claude Mythos Preview helped derive an end-to-end key-recovery attack against HAWK-256 and a 200- to 800-fold speedup for an attack on seven-round AES-128. The HAWK attack exploits a previously unused symmetry in the lattice behind the signature scheme. Anthropic's released implementation gives an expected end-to-end runtime of about three hours and 42 minutes on a 96-core server","Anthropic's Claude AI has identified a significant speedup for an attack on seven-round AES-128, making it 200 to 800 times faster. Additionally, it derived an end-to-end key-recovery attack against HAWK-256, a post-quantum signature scheme candidate. Anthropic emphasizes that these findings do not impact current production systems, as the AES attack applies to a limited number of rounds and the HAWK attack targets a specific challenge parameter.","Claude AI found a faster attack on 7-round AES and a key recovery attack on HAWK-256.","https:\u002F\u002Fthehackernews.com\u002F2026\u002F07\u002Fclaude-ai-just-cracked-post-quantum.html","https:\u002F\u002Fblogger.googleusercontent.com\u002Fimg\u002Fb\u002FR29vZ2xl\u002FAVvXsEgPhJ6dzEL23Ak57nA_XsbXtGaxl5wNrcGBPMQBVz1jddDuX_oTndpQjl3omqMxhRnQ1P4cSF7Ut18tccLFT2BxngpYTqTP8Kg6f4clFWRQ2GvxetR-uAGjMS2SsZwsiPcq5vyxCmP_AN3rCPvO5WMQeLNEit0q14i0iY9wuIUDAHMXkyvO3KjIC6c6Ozg\u002Fs1600\u002FClaude.jpg","2026-07-28T18:59:07+00:00","2026-07-28T20:00:17.845011+00:00",7,[17,20,23,26,28,30],{"name":18,"type":19},"Claude Mythos Preview","product",{"name":21,"type":22},"Anthropic","vendor",{"name":24,"type":25},"AES-128","technology",{"name":27,"type":25},"HAWK-256",{"name":29,"type":25},"Lattice cryptography",{"name":31,"type":19},"HAWK","0493c7e9-989a-4692-b4e6-136f5ec09675",{"id":32,"icon":34,"name":35,"slug":36},null,"Cryptography","cryptography",[38,40,45,50],{"category":39},{"id":32,"icon":34,"name":35,"slug":36},{"category":41},{"id":42,"icon":34,"name":43,"slug":44},"80544778-fabb-4dcd-aa35-17492e5dcf4f","Vulnerabilities","vulnerabilities",{"category":46},{"id":47,"icon":34,"name":48,"slug":49},"839da5c1-3c34-47e2-9499-f7201640e3ac","AI Security","ai-security",{"category":51},{"id":52,"icon":34,"name":53,"slug":54},"e7b231c8-5f79-4465-8d38-1ef13aea5a14","Threat Intelligence","threat-intelligence",[56],{"type":57,"value":58,"context":59},"malware","7-round AES-128 attack","Attack speedup found by Claude AI.",[21,18,31],{"controls":62,"vendors":120},[63,92],{"slug":64,"name":65,"problem":66,"products":67},"vulnerability-management","Vulnerability scanning and prioritisation","You know which systems are vulnerable, and which ones to fix first.",[68,76,84],{"vendor_slug":69,"vendor_name":70,"vendor_logo":71,"product_slug":72,"product_name":73,"url":74,"description":75},"holm-security","Holm Security","\u002Fvendor-logos\u002Fholm-security.png","holm-security-platform","Holm Security Platform","https:\u002F\u002Fwww.holmsecurity.com\u002F","Vulnerability scanning of systems, web applications, cloud and the external attack surface, plus phishing simulation.",{"vendor_slug":77,"vendor_name":78,"vendor_logo":79,"product_slug":80,"product_name":81,"url":82,"description":83},"tenable","Tenable","\u002Fvendor-logos\u002Ftenable.png","tenable-vulnerability-management","Tenable Vulnerability Management","https:\u002F\u002Fwww.tenable.com\u002Fproducts\u002Fvulnerability-management","Cloud-based vulnerability scanning and prioritisation, built on Nessus.",{"vendor_slug":85,"vendor_name":86,"vendor_logo":87,"product_slug":88,"product_name":89,"url":90,"description":91},"rapid7","Rapid7","\u002Fvendor-logos\u002Frapid7.png","insightvm","Rapid7 Exposure Command (InsightVM)","https:\u002F\u002Fwww.rapid7.com\u002Fproducts\u002Finsightvm\u002F","Vulnerability scanning and risk-based prioritisation; InsightVM is now part of Exposure Command, alongside attack surface and cloud risk.",{"slug":54,"name":93,"problem":94,"products":95},"Threat intelligence","Attack campaigns reach your sector, suppliers or software before your team hears about them.",[96,104,112],{"vendor_slug":97,"vendor_name":98,"vendor_logo":99,"product_slug":100,"product_name":101,"url":102,"description":103},"reliaquest","ReliaQuest","\u002Fvendor-logos\u002Freliaquest.png","greymatter-digital-risk-protection","GreyMatter Digital Risk Protection","https:\u002F\u002Freliaquest.com\u002Fsecurity-operations-platform\u002Fdark-web-and-digital-risk-protection\u002F","Watches the open, deep and dark web for threats aimed at an organisation and alerts its security team in real time.",{"vendor_slug":105,"vendor_name":106,"vendor_logo":107,"product_slug":108,"product_name":109,"url":110,"description":111},"google","Google","\u002Fvendor-logos\u002Fgoogle.png","google-threat-intelligence","Google Threat Intelligence","https:\u002F\u002Fcloud.google.com\u002Fsecurity\u002Fproducts\u002Fthreat-intelligence","Threat intelligence from Mandiant's frontline investigations, Google's threat analysts, open sources and Google's own visibility, in one service.",{"vendor_slug":113,"vendor_name":114,"vendor_logo":115,"product_slug":116,"product_name":117,"url":118,"description":119},"dataminr","Dataminr","\u002Fvendor-logos\u002Fdataminr.png","dataminr-threat-intelligence","Dataminr Threat Intelligence","https:\u002F\u002Fwww.dataminr.com\u002Fproducts\u002Fcyber-defense\u002Fthreat-intelligence\u002F","Real-time alerts on emerging cyber threats, exploited vulnerabilities and attacks relevant to your organisation, detected with AI across a large set of public data sources.",[],{"slug":122,"title":123,"body":124,"framework_refs":125,"framework_notes":134},"ai-assisted-cryptanalysis-exposes-weaknesses-in-aes-variants-and-post-quantum-schemes","AI-Assisted Cryptanalysis Exposes Weaknesses in AES Variants and Post-Quantum Schemes","Anthropic's Claude AI demonstrated that advanced AI models can accelerate cryptanalytic research, discovering a 200–800x speedup for a 7-round AES-128 attack and a full key-recovery attack against HAWK-256, a post-quantum signature scheme candidate. While these findings do not compromise production systems today, they signal that the threat landscape for cryptographic primitives is evolving faster than previously anticipated, partly driven by AI-assisted research. Organizations relying on non-standard cryptographic configurations, reduced-round implementations, or early-stage post-quantum candidates face emerging risk. This matters because cryptographic agility — the ability to rapidly swap out weakening algorithms — is no longer a theoretical best practice but an operational necessity as AI compresses the timeline of cryptanalytic breakthroughs.",[126,127,128,129,130,131,132,133],"NIST SP 800-131A – Transitioning the Use of Cryptographic Algorithms and Key Lengths","NIST IR 8413 – Status Report on the Third Round of the NIST PQC Standardization Process","NIST CSF 2.0 – Govern (GV.RM) Risk Management Strategy","CIS Control 3 – Data Protection (cryptographic standards for data at rest and in transit)","CIS Control 16 – Application Software Security (secure cryptographic implementations)","ISO\u002FIEC 27001:2022 – Annex A 8.24 Use of Cryptography","GDPR Article 32 – Security of Processing (appropriate technical measures including encryption)","NIST SP 800-57 – Recommendation for Key Management",{}]