CVE-2025-4767 (GCVE-0-2025-4767)
Vulnerability from cvelistv5 – Published: 2025-05-16 09:31 – Updated: 2025-05-16 15:19
VLAI
EPSS
VEX
Title
defog-ai introspect Test Endpoint integration_routes.py test_custom_tool code injection
Summary
A vulnerability was found in defog-ai introspect up to 0.1.4. It has been rated as critical. Affected by this issue is the function test_custom_tool of the file introspect/backend/integration_routes.py of the component Test Endpoint. The manipulation of the argument input_model leads to code injection. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used.
Severity
5.3 (Medium)
5.3 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-05-16 15:19 UTC
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.309068 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.309068 | signaturepermissions-required |
| https://vuldb.com/?submit.571363 | third-party-advisory |
| https://github.com/defog-ai/introspect/issues/496 | issue-tracking |
| https://github.com/defog-ai/introspect/issues/496… | exploitissue-tracking |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| defog-ai | introspect |
Affected:
0.1.0
Affected: 0.1.1 Affected: 0.1.2 Affected: 0.1.3 Affected: 0.1.4 |
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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