CVE-2026-64622 (GCVE-0-2026-64622)
Vulnerability from cvelistv5 – Published: 2026-07-20 12:04 – Updated: 2026-08-14 16:50
VLAI
EPSS
VEX
Title
Network-AI 5.12.2 through 5.13.3 Missing Authorization via ApprovalInbox
Summary
Network-AI (npm: network-ai) versions 5.12.2 through 5.13.3 fail to apply the configured authorization check (checkAuth/secret) to the ApprovalInbox GET read routes, so even when an operator configures a secret, unauthenticated actors can access sensitive approval request details. The GET /approvals/?status=all, GET /approvals/:id, GET /approvals/stats, and GET /approvals/sse routes disclose full ApprovalEntry content including action/target shell-command strings, file paths, justifications, and risk levels. All responses also carry a hardcoded Access-Control-Allow-Origin: * header, enabling cross-origin disclosure from any website the operator visits. This is an incomplete fix for GHSA-mxjx-28vx-xjjj.
Severity
7.5 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-20 12:50 UTC
CWE
- CWE-862 - Missing Authorization
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/Jovancoding/Network-AI/securit… | vendor-advisory |
| https://www.vulncheck.com/advisories/network-ai-t… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Jovancoding | Network-AI |
Affected:
5.12.2 , ≤ 5.13.3
(semver)
cpe:2.3:a:network-ai:network-ai:*:*:*:*:*:*:*:* |
Date Public
2026-07-05 00:00
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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