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CVE-2025-22057 (GCVE-0-2025-22057)

Vulnerability from cvelistv5 – Published: 2025-04-16 14:12 – Updated: 2026-08-05 11:56
VLAI
Title
net: decrease cached dst counters in dst_release
Summary
In the Linux kernel, the following vulnerability has been resolved: net: decrease cached dst counters in dst_release Upstream fix ac888d58869b ("net: do not delay dst_entries_add() in dst_release()") moved decrementing the dst count from dst_destroy to dst_release to avoid accessing already freed data in case of netns dismantle. However in case CONFIG_DST_CACHE is enabled and OvS+tunnels are used, this fix is incomplete as the same issue will be seen for cached dsts: Unable to handle kernel paging request at virtual address ffff5aabf6b5c000 Call trace: percpu_counter_add_batch+0x3c/0x160 (P) dst_release+0xec/0x108 dst_cache_destroy+0x68/0xd8 dst_destroy+0x13c/0x168 dst_destroy_rcu+0x1c/0xb0 rcu_do_batch+0x18c/0x7d0 rcu_core+0x174/0x378 rcu_core_si+0x18/0x30 Fix this by invalidating the cache, and thus decrementing cached dst counters, in dst_release too.
Impacted products
Vendor Product Version CPE status
Linux Linux Affected: d71785ffc7e7cae3fbdc4ea8a9d05b7a1c59f7b8 , < ccc331fd5bcae131d2627d5ef099d4a1f6540aea (git)
Affected: d71785ffc7e7cae3fbdc4ea8a9d05b7a1c59f7b8 , < 92a5c18513117be69bc00419dd1724c1940f8fcd (git)
Affected: d71785ffc7e7cae3fbdc4ea8a9d05b7a1c59f7b8 , < 836415a8405c9665ae55352fc5ba865c242f5e4f (git)
Affected: d71785ffc7e7cae3fbdc4ea8a9d05b7a1c59f7b8 , < e833e7ad64eb2f63867f65303be49ca30ee8819e (git)
Affected: d71785ffc7e7cae3fbdc4ea8a9d05b7a1c59f7b8 , < 3a0a3ff6593d670af2451ec363ccb7b18aec0c0a (git)
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Linux Linux Affected: 4.6
Unaffected: 0 , < 4.6 (semver)
Unaffected: 6.6.87 , ≤ 6.6.* (semver)
Unaffected: 6.12.23 , ≤ 6.12.* (semver)
Unaffected: 6.13.11 , ≤ 6.13.* (semver)
Unaffected: 6.14.2 , ≤ 6.14.* (semver)
Unaffected: 6.15 , ≤ * (original_commit_for_fix)
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Show details on NVD website

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      "cve": "CVE-2025-22057",
      "id": "CVE-2025-22057",
      "initial_release_date": "2025-04-16T00:00:00+00:00",
      "product_status:known_affected": "274",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "kernel: net: decrease cached dst counters in dst_release",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-22057.json",
      "version": "3"
    },
    "suse_vex": {
      "aggregate_severity": "moderate",
      "current_release_date": "2026-09-02T01:19:18Z",
      "cve": "CVE-2025-22057",
      "id": "CVE-2025-22057",
      "initial_release_date": "2025-04-23T02:38:59Z",
      "product_status:known_affected": "750",
      "product_status:known_not_affected": "94",
      "product_status:recommended": "400",
      "source": "SUSE CSAF VEX",
      "status": "interim",
      "title": "SUSE CVE CVE-2025-22057",
      "url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2025-22057.json",
      "version": "39"
    }
  }
}



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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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