CVE-2024-42235 (GCVE-0-2024-42235)
Vulnerability from cvelistv5 – Published: 2024-08-07 15:14 – Updated: 2026-08-05 11:36
VLAI
EPSS
VEX
Title
s390/mm: Add NULL pointer check to crst_table_free() base_crst_free()
Summary
In the Linux kernel, the following vulnerability has been resolved:
s390/mm: Add NULL pointer check to crst_table_free() base_crst_free()
crst_table_free() used to work with NULL pointers before the conversion
to ptdescs. Since crst_table_free() can be called with a NULL pointer
(error handling in crst_table_upgrade() add an explicit check.
Also add the same check to base_crst_free() for consistency reasons.
In real life this should not happen, since order two GFP_KERNEL
allocations will not fail, unless FAIL_PAGE_ALLOC is enabled and used.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-10 16:14 UTC
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
6326c26c1514757242829b292b26eac589013200 , < 794fa52b94637d6b2e8c9474fbe3983af5c9f046
(git)
Affected: 6326c26c1514757242829b292b26eac589013200 , < f80bd8bb6f380bc265834c46058d38b34174813e (git) Affected: 6326c26c1514757242829b292b26eac589013200 , < b5efb63acf7bddaf20eacfcac654c25c446eabe8 (git) |
guessed | |
| Linux | Linux |
Affected:
6.6
Unaffected: 0 , < 6.6 (semver) Unaffected: 6.6.41 , ≤ 6.6.* (semver) Unaffected: 6.9.10 , ≤ 6.9.* (semver) Unaffected: 6.10 , ≤ * (original_commit_for_fix) |
guessed |
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}
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"title": "s390/mm: Add NULL pointer check to crst_table_free() base_crst_free()",
"x_generator": {
"engine": "bippy-1.2.0"
}
}
},
"cveMetadata": {
"assignerOrgId": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"assignerShortName": "Linux",
"cveId": "CVE-2024-42235",
"datePublished": "2024-08-07T15:14:25.070Z",
"dateReserved": "2024-07-30T07:40:12.252Z",
"dateUpdated": "2025-05-04T09:24:45.510Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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