CVE-2025-1241 (GCVE-0-2025-1241)

Vulnerability from cvelistv5 – Published: 2026-04-21 14:10 – Updated: 2026-04-21 19:33
VLAI
Title
Encryption vulnerable to brute-force decryption in GoAnywhere MFT
Summary
Encrypted values in Fortra's GoAnywhere MFT prior to version 7.10.0 and GoAnywhere Agents prior to version 2.2.0 utilize a static IV which allows admin users to brute-force decryption of data.
Severity
5.8 (Medium)
CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:C/C:H/I:N/A:N
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-21 19:32 UTC
CWE
  • CWE-326 - Inadequate Encryption Strength
Assigner
References
Impacted products
Vendor Product Version CPE status
Fortra GoAnywhere MFT Affected: 0 , < 7.10.0 (semver)
guessed Create a notification for this product.
Credits
Robin Wolters, Secura
Show details on NVD website
To clipboard 

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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.


Detection rules are retrieved from Rulezet.


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.