{"description":"Trending threats, MITRE ATT\u0026CK coverage, and detection metadata. Fed continuously.","feed_url":"https://feed.craftedsignal.io/products/network-ai--5.13.4/feed.json","home_page_url":"https://feed.craftedsignal.io/","items":[{"_cs_actors":[],"_cs_cpes":[],"_cs_cves":[{"cvss":8.6,"id":"CVE-2026-64623"}],"_cs_exploited":false,"_cs_has_poc":false,"_cs_poc_references":[],"_cs_products":["Network-AI \u003c 5.13.4"],"_cs_severities":["high"],"_cs_tags":["vulnerability","rce","signature-bypass","network-ai"],"_cs_type":"advisory","_cs_vendors":["Jovancoding"],"content_html":"\u003cp\u003eA critical vulnerability, CVE-2026-64623, has been identified in Jovancoding's Network-AI software, affecting all versions prior to 5.13.4. This flaw resides within the \u003ccode\u003eAPSAdapter\u003c/code\u003e component, where it improperly verifies cryptographic signatures. Specifically, the default local verifier accepts any non-empty string as a valid signature, effectively neutralizing the security control. This vulnerability enables unauthenticated attackers to forge \u003ccode\u003eAPS delegation payloads\u003c/code\u003e containing arbitrary scopes. By successfully submitting these forged payloads, attackers can bypass legitimate signature verification processes and acquire signed permission-grant tokens for sensitive resources. Crucially, these tokens can include permissions for \u003ccode\u003eSHELL_EXEC\u003c/code\u003e, posing a severe risk of remote code execution and comprehensive system compromise. The vulnerability was published on July 20, 2026, and highlights the dangers of weak cryptographic implementations in critical application components.\u003c/p\u003e\n\u003ch2 id=\"attack-chain\"\u003eAttack Chain\u003c/h2\u003e\n\u003col\u003e\n\u003cli\u003eAn unauthenticated attacker identifies a vulnerable Jovancoding Network-AI instance (version prior to 5.13.4) exposed to the network.\u003c/li\u003e\n\u003cli\u003eThe attacker crafts a malicious \u003ccode\u003eAPS delegation payload\u003c/code\u003e designed to request high-privilege access, specifically including scopes for \u003ccode\u003eSHELL_EXEC\u003c/code\u003e on sensitive resources.\u003c/li\u003e\n\u003cli\u003eThe attacker provides a forged cryptographic signature as part of the payload, which, due to the vulnerability in the \u003ccode\u003eAPSAdapter\u003c/code\u003e, can be any non-empty string.\u003c/li\u003e\n\u003cli\u003eThe vulnerable \u003ccode\u003eAPSAdapter\u003c/code\u003e processes the incoming payload and, due to the improper verification logic, accepts the forged signature as legitimate.\u003c/li\u003e\n\u003cli\u003eThe system bypasses the intended cryptographic signature validation, treating the forged request as if it originated from a trusted entity.\u003c/li\u003e\n\u003cli\u003eAs a result, the \u003ccode\u003eAPSAdapter\u003c/code\u003e issues a signed permission-grant token to the unauthenticated attacker.\u003c/li\u003e\n\u003cli\u003eThe attacker leverages this newly acquired token to execute arbitrary commands (\u003ccode\u003eSHELL_EXEC\u003c/code\u003e) on sensitive resources, achieving remote code execution and system control.\u003c/li\u003e\n\u003c/ol\u003e\n\u003ch2 id=\"impact\"\u003eImpact\u003c/h2\u003e\n\u003cp\u003eSuccessful exploitation of CVE-2026-64623 grants unauthenticated attackers the ability to bypass security controls and gain significant access to affected Network-AI instances. This can lead to remote code execution (RCE) on sensitive resources, allowing attackers to compromise the integrity, confidentiality, and availability of data and systems. Attackers could exfiltrate sensitive information, install further malware, disrupt operations, or gain persistent access to the compromised environment. While specific victim counts or targeted sectors are not provided, any organization utilizing vulnerable versions of Jovancoding Network-AI is at risk of severe data breaches and system takeovers.\u003c/p\u003e\n\u003ch2 id=\"recommendation\"\u003eRecommendation\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003ePatch CVE-2026-64623 immediately by upgrading Jovancoding Network-AI to version 5.13.4 or later.\u003c/li\u003e\n\u003cli\u003eReview network access policies to the Network-AI application, ensuring only authorized systems and users can communicate with the \u003ccode\u003eAPSAdapter\u003c/code\u003e component.\u003c/li\u003e\n\u003c/ul\u003e\n","date_modified":"2026-07-20T12:31:55Z","date_published":"2026-07-20T12:31:55Z","id":"https://feed.craftedsignal.io/briefs/2026-07-cve-2026-64623-network-ai-signature-bypass/","summary":"Jovancoding Network-AI versions before 5.13.4 are vulnerable to an improper cryptographic signature verification flaw (CVE-2026-64623) in the APSAdapter component, allowing unauthenticated attackers to bypass signature validation by submitting forged APS delegation payloads with arbitrary scopes to obtain signed permission tokens for sensitive resources, including SHELL_EXEC capabilities.","title":"CVE-2026-64623: Jovancoding Network-AI Signature Verification Bypass Leading to Remote Code Execution","url":"https://feed.craftedsignal.io/briefs/2026-07-cve-2026-64623-network-ai-signature-bypass/"}],"language":"en","title":"CraftedSignal Threat Feed - Network-AI \u003c 5.13.4","version":"https://jsonfeed.org/version/1.1"}