CVE-2025-22057 (GCVE-0-2025-22057)
Vulnerability from cvelistv5 – Published: 2025-04-16 14:12 – Updated: 2026-08-05 11:56
VLAI
EPSS
VEX
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.
Severity
7.8 (High)
Assigner
References
Impacted products
2 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) |
guessed | |
| 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) |
guessed |
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"value": "AV:L - Triggering requires local configuration of a metadata tunnel (tc `action tunnel_key set`, nft tunnel object, or OVS set_tunnel) via netlink plus a network-namespace dismantle; received packets alone cannot populate the dst_cache since RX-allocated tun_dsts have no cache initialized.\nAC:L - The attacker controls both sides \u2014 they configure the cached tunnel dst and they trigger the netns teardown that frees the percpu counter \u2014 and `cleanup_net()` performs no rcu_barrier() between device-op exit (which queues dst_destroy_rcu) and ip6_route_net_exit(), so the window is wide and the whole sequence can be repeated in a loop until it lands.\nPR:L - tc actions, nftables tunnel objects, tunnel device creation and netns teardown are all gated by `netlink_net_capable(skb, CAP_NET_ADMIN)`, which checks against `sock_net(sk)-\u003euser_ns`, so an unprivileged local user obtains everything needed via `unshare -Urn`.\nUI:N - The attacker performs the entire sequence \u2014 namespace creation, tunnel/action setup, traffic generation, and namespace destruction \u2014 with no action by any other user.\nS:U - The use-after-free corrupts kernel memory within the same kernel security authority; no VM, IOMMU, or hypervisor boundary is crossed.\nC:H - `percpu_counter_add_batch()` reads freed percpu memory through the dangling `fbc-\u003ecounters` pointer and folds that value into a kernel counter; per use-after-free scoring this yields potential disclosure of reclaimed kernel heap contents.\nI:H - The stale `this_cpu_write()` performs a use-after-free write into a freed percpu chunk that other percpu allocations can reclaim, corrupting unrelated kernel state (e.g. counters/refcounts) in an attacker-groomable way.\nA:H - The reported failure is a fatal kernel paging fault in `percpu_counter_add_batch()` from an RCU softirq callback, which panics or oopses the machine in unrecoverable context."
}
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}
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"id": "CVE-2025-22057",
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"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"
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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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