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CVE-2023-53554 (GCVE-0-2023-53554)

Vulnerability from cvelistv5 – Published: 2025-10-04 15:16 – Updated: 2026-08-05 09:14
VLAI
Title
staging: ks7010: potential buffer overflow in ks_wlan_set_encode_ext()
Summary
In the Linux kernel, the following vulnerability has been resolved: staging: ks7010: potential buffer overflow in ks_wlan_set_encode_ext() The "exc->key_len" is a u16 that comes from the user. If it's over IW_ENCODING_TOKEN_MAX (64) that could lead to memory corruption.
Impacted products
Vendor Product Version CPE status
Linux Linux Affected: b121d84882b97b8668be0b95e9ba50cfd01aa0f1 , < 9496fb96ddeb740dc6b966f4a7d8dfb8b93921c6 (git)
Affected: b121d84882b97b8668be0b95e9ba50cfd01aa0f1 , < 663fff29fd613e2b0d30c4138157312ba93c4939 (git)
Affected: b121d84882b97b8668be0b95e9ba50cfd01aa0f1 , < 5373a1aa91b2298f9305794b8270cf9896be96b6 (git)
Affected: b121d84882b97b8668be0b95e9ba50cfd01aa0f1 , < caac4b6c15b66feae4d83f602e1e46f124540202 (git)
Affected: b121d84882b97b8668be0b95e9ba50cfd01aa0f1 , < baf420e30364ef9efe3e29a5c0e01e612aebf3fe (git)
Affected: b121d84882b97b8668be0b95e9ba50cfd01aa0f1 , < 7ae9f55a495077f838bab466411ee6f38574df9b (git)
Affected: b121d84882b97b8668be0b95e9ba50cfd01aa0f1 , < b1b04b56745bc79286c80aa876fabfab1e08ebf1 (git)
Affected: b121d84882b97b8668be0b95e9ba50cfd01aa0f1 , < 5f1c7031e044cb2fba82836d55cc235e2ad619dc (git)
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Linux Linux Affected: 4.12
Unaffected: 0 , < 4.12 (semver)
Unaffected: 4.14.322 , ≤ 4.14.* (semver)
Unaffected: 4.19.291 , ≤ 4.19.* (semver)
Unaffected: 5.4.253 , ≤ 5.4.* (semver)
Unaffected: 5.10.190 , ≤ 5.10.* (semver)
Unaffected: 5.15.124 , ≤ 5.15.* (semver)
Unaffected: 6.1.43 , ≤ 6.1.* (semver)
Unaffected: 6.4.8 , ≤ 6.4.* (semver)
Unaffected: 6.5 , ≤ * (original_commit_for_fix)
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Show details on NVD website

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    "redhat_vex": {
      "aggregate_severity": "None",
      "current_release_date": "2026-06-30T10:30:57+00:00",
      "cve": "CVE-2023-53554",
      "id": "CVE-2023-53554",
      "initial_release_date": "2023-01-01T00:00:00+00:00",
      "product_status:known_not_affected": "274",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "kernel: staging: ks7010: potential buffer overflow in ks_wlan_set_encode_ext()",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2023/cve-2023-53554.json",
      "version": "3"
    },
    "suse_vex": {
      "aggregate_severity": "moderate",
      "current_release_date": "2026-09-13T23:46:09Z",
      "cve": "CVE-2023-53554",
      "id": "CVE-2023-53554",
      "initial_release_date": "2025-10-05T02:56:24Z",
      "product_status:known_affected": "354",
      "product_status:known_not_affected": "265",
      "product_status:recommended": "506",
      "source": "SUSE CSAF VEX",
      "status": "interim",
      "title": "SUSE CVE CVE-2023-53554",
      "url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2023-53554.json",
      "version": "50"
    }
  }
}



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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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