CVE-2025-39813 (GCVE-0-2025-39813)
Vulnerability from cvelistv5 – Published: 2025-09-16 13:00 – Updated: 2026-05-12 12:07
VLAI
EPSS
VEX
Title
ftrace: Fix potential warning in trace_printk_seq during ftrace_dump
Summary
In the Linux kernel, the following vulnerability has been resolved:
ftrace: Fix potential warning in trace_printk_seq during ftrace_dump
When calling ftrace_dump_one() concurrently with reading trace_pipe,
a WARN_ON_ONCE() in trace_printk_seq() can be triggered due to a race
condition.
The issue occurs because:
CPU0 (ftrace_dump) CPU1 (reader)
echo z > /proc/sysrq-trigger
!trace_empty(&iter)
trace_iterator_reset(&iter) <- len = size = 0
cat /sys/kernel/tracing/trace_pipe
trace_find_next_entry_inc(&iter)
__find_next_entry
ring_buffer_empty_cpu <- all empty
return NULL
trace_printk_seq(&iter.seq)
WARN_ON_ONCE(s->seq.len >= s->seq.size)
In the context between trace_empty() and trace_find_next_entry_inc()
during ftrace_dump, the ring buffer data was consumed by other readers.
This caused trace_find_next_entry_inc to return NULL, failing to populate
`iter.seq`. At this point, due to the prior trace_iterator_reset, both
`iter.seq.len` and `iter.seq.size` were set to 0. Since they are equal,
the WARN_ON_ONCE condition is triggered.
Move the trace_printk_seq() into the if block that checks to make sure the
return value of trace_find_next_entry_inc() is non-NULL in
ftrace_dump_one(), ensuring the 'iter.seq' is properly populated before
subsequent operations.
Severity
4.7 (Medium)
Assigner
References
11 references
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
d769041f865330034131525ee6a7f72eb4af2a24 , < f299353e7ccbcc5c2ed8993c48fbe7609cbe729a
(git)
Affected: d769041f865330034131525ee6a7f72eb4af2a24 , < 5ab0ec206deb99eb3baf8f1d7602aeaa91dbcc85 (git) Affected: d769041f865330034131525ee6a7f72eb4af2a24 , < a6f0f8873cc30fd4543b09adf03f7f51d293f0e6 (git) Affected: d769041f865330034131525ee6a7f72eb4af2a24 , < e80ff23ba8bdb0f41a1afe2657078e4097d13a9a (git) Affected: d769041f865330034131525ee6a7f72eb4af2a24 , < 28c8fb7ae2ad27d81c8de3c4fe608c509f6a18aa (git) Affected: d769041f865330034131525ee6a7f72eb4af2a24 , < ced94e137e6cd5e79c65564841d3b7695d0f5fa3 (git) Affected: d769041f865330034131525ee6a7f72eb4af2a24 , < fbd4cf7ee4db65ef36796769fe978e9eba6f0de4 (git) Affected: d769041f865330034131525ee6a7f72eb4af2a24 , < 4013aef2ced9b756a410f50d12df9ebe6a883e4a (git) |
guessed | |
| Linux | Linux |
Affected:
2.6.28
Unaffected: 0 , < 2.6.28 (semver) Unaffected: 5.4.298 , ≤ 5.4.* (semver) Unaffected: 5.10.242 , ≤ 5.10.* (semver) Unaffected: 5.15.191 , ≤ 5.15.* (semver) Unaffected: 6.1.150 , ≤ 6.1.* (semver) Unaffected: 6.6.104 , ≤ 6.6.* (semver) Unaffected: 6.12.45 , ≤ 6.12.* (semver) Unaffected: 6.16.5 , ≤ 6.16.* (semver) Unaffected: 6.17 , ≤ * (original_commit_for_fix) |
guessed | |
| Siemens | SIMATIC CN 4100 |
Affected:
0 , < V5.0
(custom)
|
guessed |
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"redhat_vex": {
"aggregate_severity": "Low",
"current_release_date": "2026-06-30T10:22:13+00:00",
"cve": "CVE-2025-39813",
"id": "CVE-2025-39813",
"initial_release_date": "2025-09-16T00:00:00+00:00",
"product_status:known_affected": "260",
"product_status:known_not_affected": "14",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "kernel: Linux kernel: Denial of Service in ftrace due to race condition in trace_printk_seq",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-39813.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2026-09-11T01:58:32Z",
"cve": "CVE-2025-39813",
"id": "CVE-2025-39813",
"initial_release_date": "2025-09-16T23:24:07Z",
"product_status:first_fixed": "2",
"product_status:known_affected": "729",
"product_status:recommended": "551",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2025-39813",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2025-39813.json",
"version": "68"
}
}
}
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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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