CVE-2022-25309 (GCVE-0-2022-25309)
Vulnerability from cvelistv5 – Published: 2022-09-06 17:18 – Updated: 2024-08-03 04:36
VLAI
EPSS
VEX
Summary
A heap-based buffer overflow flaw was found in the Fribidi package and affects the fribidi_cap_rtl_to_unicode() function of the fribidi-char-sets-cap-rtl.c file. This flaw allows an attacker to pass a specially crafted file to the Fribidi application with the '--caprtl' option, leading to a crash and causing a denial of service.
Severity
5.5 (Medium)
CWE
- CWE-122 - - Heap-based Buffer Overflow.
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/fribidi/fribidi/issues/182 | x_refsource_MISC |
| https://bugzilla.redhat.com/show_bug.cgi?id=2047896 | x_refsource_MISC |
| https://github.com/fribidi/fribidi/commit/f22593b… | x_refsource_MISC |
| https://access.redhat.com/security/cve/CVE-2022-25309 | x_refsource_MISC |
Impacted products
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"id": "CVE-2022-25309",
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"cve": "CVE-2022-25309",
"id": "CVE-2022-25309",
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"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2022-25309",
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}
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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.
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.
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