CVE-2026-15628 (GCVE-0-2026-15628)
Vulnerability from cvelistv5 – Published: 2026-07-14 03:00 – Updated: 2026-07-14 12:42 X_Open Source
VLAI
EPSS
VEX
Title
zhayujie chatgpt-on-wechat CowAgent Vision Tool vision.py Vision._download_to_data_url server-side request forgery
Summary
A security flaw has been discovered in zhayujie chatgpt-on-wechat CowAgent up to 2.1.1. This issue affects the function Vision._download_to_data_url of the file agent/tools/vision/vision.py of the component Vision Tool. Performing a manipulation of the argument image results in server-side request forgery. It is possible to initiate the attack remotely. The exploit has been released to the public and may be used for attacks. Upgrading to version 2.1.2 is capable of addressing this issue. The patch is named e85290cddcbb5ffc9c235927f4c92e5b4c3ec264. The affected component should be upgraded.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-14 12:42 UTC
CWE
- CWE-918 - Server-Side Request Forgery
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/378130 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/378130/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-15628 | third-party-advisory |
| https://vuldb.com/submit/855849 | third-party-advisory |
| https://github.com/zhayujie/CowAgent/issues/2878 | exploitissue-tracking |
| https://github.com/zhayujie/CowAgent/pull/2886 | issue-trackingpatch |
| https://github.com/zhayujie/CowAgent/commit/e8529… | patch |
| https://github.com/zhayujie/CowAgent/releases/tag/2.1.2 | patch |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| zhayujie | chatgpt-on-wechat CowAgent |
Affected:
2.1.0
Affected: 2.1.1 Unaffected: 2.1.2 cpe:2.3:a:zhayujie:chatgpt-on-wechat_cowagent:*:*:*:*:*:*:*:* |
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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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.