CVE-2021-43814 (GCVE-0-2021-43814)
Vulnerability from cvelistv5 – Published: 2021-12-13 19:35 – Updated: 2024-08-04 04:03
VLAI
EPSS
VEX
Title
Heap-based OOB write when parsing dwarf DIE info in Rizin
Summary
Rizin is a UNIX-like reverse engineering framework and command-line toolset. In versions up to and including 0.3.1 there is a heap-based out of bounds write in parse_die() when reversing an AMD64 ELF binary with DWARF debug info. When a malicious AMD64 ELF binary is opened by a victim user, Rizin may crash or execute unintended actions. No workaround are known and users are advised to upgrade.
Severity
7.7 (High)
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/rizinorg/rizin/security/adviso… | x_refsource_CONFIRM |
| https://github.com/rizinorg/rizin/issues/2083 | x_refsource_MISC |
| https://github.com/rizinorg/rizin/commit/aa691777… | x_refsource_MISC |
Impacted products
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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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