CVE-2025-10952 (GCVE-0-2025-10952)

Vulnerability from cvelistv5 – Published: 2025-09-25 15:32 – Updated: 2025-09-25 15:47
VLAI
Title
geyang ml-logger File server.py stream_handler information disclosure
Summary
A security flaw has been discovered in geyang ml-logger up to acf255bade5be6ad88d90735c8367b28cbe3a743. Affected by this issue is the function stream_handler of the file ml_logger/server.py of the component File Handler. Performing manipulation of the argument key results in information disclosure. The attack can be initiated remotely. The exploit has been released to the public and may be exploited. Continious delivery with rolling releases is used by this product. Therefore, no version details of affected nor updated releases are available.
Severity
6.9 (Medium)
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:P
5.3 (Medium)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N/E:P/RL:X/RC:R
5.3 (Medium)
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N/E:P/RL:X/RC:R
SSVC
Exploitation: poc Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-25 15:44 UTC
CWE
Assigner
VulDB CNA under the mitre root
CNA scorecard B 83/100 over 3869 records in the last 180 days details
References
URL Tags
https://vuldb.com/?id.325822 vdb-entrytechnical-description
https://vuldb.com/?ctiid.325822 signaturepermissions-required
https://vuldb.com/?submit.652463 third-party-advisory
https://github.com/geyang/ml-logger/issues/74 exploitissue-tracking
Impacted products
Vendor Product Version CPE status
geyang ml-logger Affected: acf255bade5be6ad88d90735c8367b28cbe3a743
guessed Create a notification for this product.
Credits
0x1f (VulDB User)
Show details on NVD website
To clipboard 

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        "datePublished": "2025-09-25T15:32:05.845Z",
        "dateReserved": "2025-09-25T06:58:46.040Z",
        "dateUpdated": "2025-09-25T15:47:56.179Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}



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Tags
Taxonomy of the tags.




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.

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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    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.