alsa-2021:4593
Vulnerability from osv_almalinux
Published
2021-11-10 08:39
Modified
2021-11-12 16:17
Summary
Moderate: annobin security update
Details
Annobin provides a compiler plugin to annotate and tools to examine compiled binary files.
Security Fix(es):
- Developer environment: Unicode's bidirectional (BiDi) override characters can cause trojan source attacks (CVE-2021-42574)
The following changes were introduced in annobin in order to facilitate detection of BiDi Unicode characters:
This update of annobin adds a new annocheck test to detect the presence of multibyte characters in symbol names.
For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.
References
| URL | Type | |
|---|---|---|
{
"affected": [
{
"package": {
"ecosystem": "AlmaLinux:8",
"name": "annobin"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "9.72-1.el8_5.2"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "AlmaLinux:8",
"name": "annobin-annocheck"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "9.72-1.el8_5.2"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"details": "Annobin provides a compiler plugin to annotate and tools to examine compiled binary files.\n\nSecurity Fix(es):\n\n* Developer environment: Unicode\u0027s bidirectional (BiDi) override characters can cause trojan source attacks (CVE-2021-42574)\n\nThe following changes were introduced in annobin in order to facilitate detection of BiDi Unicode characters:\n\nThis update of annobin adds a new annocheck test to detect the presence of multibyte characters in symbol names.\n\nFor more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.",
"id": "ALSA-2021:4593",
"modified": "2021-11-12T16:17:39Z",
"published": "2021-11-10T08:39:41Z",
"references": [
{
"type": "REPORT",
"url": "https://vulners.com/cve/CVE-2021-42574"
}
],
"related": [
"CVE-2021-42574"
],
"summary": "Moderate: annobin security update"
}
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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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