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CVE-2025-39920 (GCVE-0-2025-39920)

Vulnerability from cvelistv5 – Published: 2025-10-01 07:55 – Updated: 2026-05-11 21:38
VLAI
Title
pcmcia: Add error handling for add_interval() in do_validate_mem()
Summary
In the Linux kernel, the following vulnerability has been resolved: pcmcia: Add error handling for add_interval() in do_validate_mem() In the do_validate_mem(), the call to add_interval() does not handle errors. If kmalloc() fails in add_interval(), it could result in a null pointer being inserted into the linked list, leading to illegal memory access when sub_interval() is called next. This patch adds an error handling for the add_interval(). If add_interval() returns an error, the function will return early with the error code.
Severity
5.5 (Medium)
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Assigner
References
Impacted products
Vendor Product Version CPE status
Linux Linux Affected: 7b4884ca8853a638df0eb5d251d80d67777b8b1a , < 5b60ed401b47897352c520bc724c85aa908dedcc (git)
Affected: 7b4884ca8853a638df0eb5d251d80d67777b8b1a , < ae184024ef31423e5beb44cf4f52999bbcf2fe5b (git)
Affected: 7b4884ca8853a638df0eb5d251d80d67777b8b1a , < 85be7ef8c8e792a414940a38d94565dd48d2f236 (git)
Affected: 7b4884ca8853a638df0eb5d251d80d67777b8b1a , < 06b26e3099207c94b3d1be8565aedc6edc4f0a60 (git)
Affected: 7b4884ca8853a638df0eb5d251d80d67777b8b1a , < 8699358b6ac99b8ccc97ed9e6e3669ef8958ef7b (git)
Affected: 7b4884ca8853a638df0eb5d251d80d67777b8b1a , < 289b58f8ff3198d091074a751d6b8f6827726f3e (git)
Affected: 7b4884ca8853a638df0eb5d251d80d67777b8b1a , < 369bf6e241506583f4ee7593c53b92e5a9f271b4 (git)
Affected: 7b4884ca8853a638df0eb5d251d80d67777b8b1a , < 4a81f78caa53e0633cf311ca1526377d9bff7479 (git)
guessed Create a notification for this product.
Linux Linux Affected: 2.6.34
Unaffected: 0 , < 2.6.34 (semver)
Unaffected: 5.4.299 , ≤ 5.4.* (semver)
Unaffected: 5.10.243 , ≤ 5.10.* (semver)
Unaffected: 5.15.192 , ≤ 5.15.* (semver)
Unaffected: 6.1.151 , ≤ 6.1.* (semver)
Unaffected: 6.6.105 , ≤ 6.6.* (semver)
Unaffected: 6.12.46 , ≤ 6.12.* (semver)
Unaffected: 6.16.6 , ≤ 6.16.* (semver)
Unaffected: 6.17 , ≤ * (original_commit_for_fix)
guessed Create a notification for this product.
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    "redhat_vex": {
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      "product_status:known_not_affected": "274",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "kernel: pcmcia: Add error handling for add_interval() in do_validate_mem()",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-39920.json",
      "version": "3"
    },
    "suse_vex": {
      "aggregate_severity": "moderate",
      "current_release_date": "2026-09-11T01:57:38Z",
      "cve": "CVE-2025-39920",
      "id": "CVE-2025-39920",
      "initial_release_date": "2025-10-01T23:22:49Z",
      "product_status:known_affected": "400",
      "product_status:known_not_affected": "387",
      "product_status:recommended": "310",
      "source": "SUSE CSAF VEX",
      "status": "interim",
      "title": "SUSE CVE CVE-2025-39920",
      "url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2025-39920.json",
      "version": "35"
    }
  }
}



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Taxonomy of the tags.





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.