CVE-2022-48672 (GCVE-0-2022-48672)
Vulnerability from cvelistv5 – Published: 2024-05-03 14:51 – Updated: 2026-05-11 18:44
VLAI
EPSS
VEX
Title
of: fdt: fix off-by-one error in unflatten_dt_nodes()
Summary
In the Linux kernel, the following vulnerability has been resolved:
of: fdt: fix off-by-one error in unflatten_dt_nodes()
Commit 78c44d910d3e ("drivers/of: Fix depth when unflattening devicetree")
forgot to fix up the depth check in the loop body in unflatten_dt_nodes()
which makes it possible to overflow the nps[] buffer...
Found by Linux Verification Center (linuxtesting.org) with the SVACE static
analysis tool.
Severity
No CVSS data available.
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-06-12 15:31 UTC
Assigner
References
7 references
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
78c44d910d3e5f96dc6b3695fc1e4efd7c46a455 , < cbdda20ce363356698835185801a58a28f644853
(git)
Affected: 78c44d910d3e5f96dc6b3695fc1e4efd7c46a455 , < 2566706ac6393386a4e7c4ce23fe17f4c98d9aa0 (git) Affected: 78c44d910d3e5f96dc6b3695fc1e4efd7c46a455 , < e0e88c25f88b9805572263c9ed20f1d88742feaf (git) Affected: 78c44d910d3e5f96dc6b3695fc1e4efd7c46a455 , < ee4369260e77821602102dcc7d792de39a56365c (git) Affected: 78c44d910d3e5f96dc6b3695fc1e4efd7c46a455 , < ba6b9f7cc1108bad6e2c53b1d6e0156379188db7 (git) Affected: 78c44d910d3e5f96dc6b3695fc1e4efd7c46a455 , < 2133f451311671c7c42b5640d2b999326b39aa0e (git) Affected: 78c44d910d3e5f96dc6b3695fc1e4efd7c46a455 , < 2f945a792f67815abca26fa8a5e863ccf3fa1181 (git) |
guessed | |
| Linux | Linux |
Affected:
4.7
Unaffected: 0 , < 4.7 (semver) Unaffected: 4.14.295 , ≤ 4.14.* (semver) Unaffected: 4.19.260 , ≤ 4.19.* (semver) Unaffected: 5.4.215 , ≤ 5.4.* (semver) Unaffected: 5.10.145 , ≤ 5.10.* (semver) Unaffected: 5.15.70 , ≤ 5.15.* (semver) Unaffected: 5.19.11 , ≤ 5.19.* (semver) Unaffected: 6.0 , ≤ * (original_commit_for_fix) |
guessed |
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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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