# CVE-2026-64623: Jovancoding Network-AI signature verification bypass in APSAdapter

Source: https://junglewise.ai/threats/cve-2026-64623-jovancoding-network-ai-signature-verification-bypass-in  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-07-20. Updated: 2026-07-20  
License: CC BY 4.0 with a link back

CVE-2026-64623 · Severity: high · CVSS 8.6 · Published 2026-07-20

Network-AI, a library used for managing AI agent permissions and resource access, contains a security flaw in its default configuration. The system fails to properly verify digital signatures, allowing anyone to submit a fake request and claim high-level permissions. An attacker could exploit this to gain unauthorized access to sensitive system resources, including the ability to execute arbitrary shell commands on the host system.

Technologies: [Jovancoding Network-AI](https://junglewise.ai/threats/technologies/network-ai). Vendors: [Jovancoding](https://junglewise.ai/threats/vendors/jovancoding).

## Quick answers

**Is CVE-2026-64623 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2026-64623 being exploited in the wild.

**How severe is CVE-2026-64623?** High severity, with a CVSS score of 8.6, published 20 July 2026.

**Which products and versions are affected?** Jovancoding Network-AI < 5.13.4.

**Is there a fix for CVE-2026-64623?** No fixed version is recorded yet. Check the vendor's advisory in the references below. If you run it, Junglewise drafts a mitigation that fits your setup and applies it once you approve, with senior security engineers behind it.

**How is CVE-2026-64623 attacked?** It is attacked over the network, in a software library.

**Am I affected by CVE-2026-64623?** Check whether you run Jovancoding Network-AI at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## Technical details

An improper cryptographic signature verification vulnerability (CWE-347) exists in the APSAdapter component of Network-AI. By default, the 'local' verification mode uses a fallback verifier that considers any non-empty string to be a valid signature. An unauthenticated remote attacker can exploit this by submitting a forged APS delegation payload with a single-character signature and arbitrary scopes (such as 'shell:exec'). This allows the attacker to bypass signature checks, register forged trust configurations in AuthGuardian, and obtain signed permission-grant tokens for sensitive resources. The issue is fixed in version 5.13.4 by requiring a valid signature function when using local verification mode.

## Affected products

- Jovancoding Network-AI < 5.13.4

## Timeline

- 2026-07-05: advisory: GitHub Security Advisory GHSA-3jf7-33vc-hgf4 published
- 2026-07-20: disclosed: NVD publication date

## References

- [https://github.com/Jovancoding/Network-AI/security/advisories/GHSA-3jf7-33vc-hgf4](https://github.com/Jovancoding/Network-AI/security/advisories/GHSA-3jf7-33vc-hgf4)
- [https://www.vulncheck.com/advisories/network-ai-before-cryptographic-signature-verification-bypass](https://www.vulncheck.com/advisories/network-ai-before-cryptographic-signature-verification-bypass)

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