CVE-2025-61929 (GCVE-0-2025-61929)
Vulnerability from cvelistv5 – Published: 2025-10-10 19:50 – Updated: 2025-10-10 20:46
VLAI
EPSS
VEX
Title
Cherry Studio allows one-click on a specific URL to cause a command to execute
Summary
Cherry Studio is a desktop client that supports for multiple LLM providers. Cherry Studio registers a custom protocol called `cherrystudio://`. When handling the MCP installation URL, it parses the base64-encoded configuration data and directly executes the command within it. In the files `src/main/services/ProtocolClient.ts` and `src/main/services/urlschema/mcp-install.ts`, when receiving a URL of the `cherrystudio://mcp` type, the `handleMcpProtocolUrl` function is called for processing. If an attacker crafts malicious content and posts it on a website or elsewhere (there are many exploitation methods, such as creating a malicious website with a button containing this malicious content), when the user clicks it, since the pop-up window contains normal content, the direct click is considered a scene action, and the malicious command is directly triggered, leading to the user being compromised. As of time of publication, no known patched versions exist.
Severity
9.7 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-10-10 20:45 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/CherryHQ/cherry-studio/securit… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| CherryHQ | cherry-studio |
Affected:
<= 1.7.0-alpha.4
|
guessed |
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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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