CVE-2026-15330 (GCVE-0-2026-15330)
Vulnerability from cvelistv5 – Published: 2026-07-10 04:00 – Updated: 2026-07-10 20:31 X_Open Source
VLAI
EPSS
VEX
Title
zhayujie CowAgent Vision Tool vision.py _download_to_data_url server-side request forgery
Summary
A vulnerability was determined in zhayujie CowAgent up to 2.1.1. Impacted is the function _build_image_content/_download_to_data_url of the file agent/tools/vision/vision.py of the component Vision Tool. Executing a manipulation of the argument image can lead to server-side request forgery. The attack can be launched remotely. The exploit has been publicly disclosed and may be utilized. Upgrading to version 2.1.2 is recommended to address this issue. This patch is called e85290cddcbb5ffc9c235927f4c92e5b4c3ec264. Upgrading the affected component is advised.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-10 20:26 UTC
CWE
- CWE-918 - Server-Side Request Forgery
Assigner
References
9 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/377273 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/377273/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-15330 | third-party-advisory |
| https://vuldb.com/submit/853103 | third-party-advisory |
| https://github.com/zhayujie/CowAgent/issues/2872 | 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 |
| https://github.com/zhayujie/CowAgent/ | product |
Impacted products
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}
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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.
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.