CVE-2025-9805 (GCVE-0-2025-9805)
Vulnerability from cvelistv5 – Published: 2025-09-02 00:02 – Updated: 2025-09-02 19:34 X_Open Source
VLAI
EPSS
VEX
Title
SimStudioAI sim route.ts server-side request forgery
Summary
A vulnerability was found in SimStudioAI sim up to 51b1e97fa22c48d144aef75f8ca31a74ad2cfed2. This issue affects some unknown processing of the file apps/sim/app/api/proxy/image/route.ts. The manipulation results in server-side request forgery. The attack may be performed from remote. The exploit has been made public and could be used. This product utilizes a rolling release system for continuous delivery, and as such, version information for affected or updated releases is not disclosed. The patch is identified as 3424a338b763115f0269b209e777608e4cd31785. Applying a patch is advised to resolve this issue.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-02 19:33 UTC
CWE
- CWE-918 - Server-Side Request Forgery
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.322129 | vdb-entry |
| https://vuldb.com/?ctiid.322129 | signaturepermissions-required |
| https://vuldb.com/?submit.640821 | third-party-advisory |
| https://github.com/simstudioai/sim/issues/1128 | issue-tracking |
| https://github.com/simstudioai/sim/issues/1128#is… | issue-tracking |
| https://github.com/simstudioai/sim/issues/1128#is… | exploitissue-tracking |
| https://github.com/simstudioai/sim/commit/3424a33… | patch |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| SimStudioAI | sim |
Affected:
51b1e97fa22c48d144aef75f8ca31a74ad2cfed2
|
guessed |
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"dateUpdated": "2025-09-02T19:34:20.352Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
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.