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CVE-2025-33081 (GCVE-0-2025-33081)

Vulnerability from cvelistv5 – Published: 2026-02-03 22:14 – Updated: 2026-02-05 20:24
VLAI
Title
Multiple Vulnerabilities in IBM Concert Software.
Summary
IBM Concert 1.0.0 through 2.1.0 stores potentially sensitive information in log files that could be read by a local user.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-04 14:41 UTC
CWE
  • CWE-312 - Cleartext Storage of Sensitive Information
Assigner
References
URL Tags
https://www.ibm.com/support/pages/node/7257565 vendor-advisorypatch
Impacted products
Vendor Product Version CPE status
IBM Concert Affected: 1.0.0 , ≤ 2.1.0 (semver)
    cpe:2.3:a:ibm:concert:1.0.0:*:*:*:*:*:*:*
    cpe:2.3:a:ibm:concert:2.1.0:*:*:*:*:*:*:*
Create a notification for this product.
Show details on NVD website

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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.

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Detection rules are retrieved from Rulezet.

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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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