Vulnerability in Jovancoding Network-Ai
CVE-2026-64623
Network-AI before 5.13.4 contains an improper cryptographic signature verification vulnerability in APSAdapter where the default local verifier accepts any non-empty string as valid. Unauthenticated attackers can submit forged APS delegation payloads with arbitrary scopes to bypass signature verification and obtain signed permission-grant tokens for sensitive resources including SHELL_EXEC.
Published · last modified .
CVSS v3 metric
CVSS v3 base score 8.6 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:L.
EPSS exploit prediction
EPSS: 0.003 (19.1th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 19th percentile — 19.1% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.003 · newest: 0.003 · change: 0.000
Affected products
- Jovancoding Network-Ai — versions 0, 5.13.4
Weakness classification (CWE)
References
- GitHub Security Advisory (GHSA-3jf7-33vc-hgf4) (vendor-advisory)
- VulnCheck Advisory: Network-AI before 5.13.4 Cryptographic Signature Verification Bypass (third-party-advisory)
Frequently asked questions
- What is CVE-2026-64623?
- CVE-2026-64623 is a high-severity vulnerability in Jovancoding Network-Ai, classified under Improper Verification of Cryptographic Signature. CVSS score: 8.6/10. Published 2026-07-20.
- How severe is CVE-2026-64623?
- High severity. CVSS v3 base score is 8.6 out of 10.