brew-monkeysphere-cve-2024-2467
Vulnerability from osv_homebrew
Published
2026-08-13 09:49
Modified
2026-08-13 09:49
Summary
Details
A timing-based side-channel flaw exists in the perl-Crypt-OpenSSL-RSA package, which could be sufficient to recover plaintext across a network in a Bleichenbacher-style attack. To achieve successful decryption, an attacker would have to be able to send a large number of trial messages. The vulnerability affects the legacy PKCS#1v1.5 RSA encryption padding mode.
Severity
5.9 (Medium)
{
"affected": [
{
"ecosystem_specific": {
"fix": null,
"range_state": "affected",
"resource": "Crypt::OpenSSL::RSA",
"resource_purl": "pkg:cpan/TODDR/Crypt-OpenSSL-RSA@0.33",
"upstream_fixed_in": "0.35"
},
"package": {
"ecosystem": "Homebrew",
"name": "monkeysphere",
"purl": "pkg:brew/monkeysphere"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "medium",
"source": "matched",
"strategy": "cpansa",
"upstream_evidence": [
{
"ecosystem": "CPAN",
"key": "pkg:cpan/TODDR/Crypt-OpenSSL-RSA@0.33",
"name": "Crypt-OpenSSL-RSA",
"resource": "Crypt::OpenSSL::RSA",
"strategy": "cpansa",
"subject_version": "0.33"
}
]
},
"details": "A timing-based side-channel flaw exists in the perl-Crypt-OpenSSL-RSA package, which could be sufficient to recover plaintext across a network in a Bleichenbacher-style attack. To achieve successful decryption, an attacker would have to be able to send a large number of trial messages. The vulnerability affects the legacy PKCS#1v1.5 RSA encryption padding mode.",
"id": "BREW-monkeysphere-CVE-2024-2467",
"modified": "2026-08-13T09:49:07Z",
"published": "2026-08-13T09:49:07Z",
"references": [
{
"type": "WEB",
"url": "https://access.redhat.com/security/cve/CVE-2024-2467"
},
{
"type": "WEB",
"url": "https://people.redhat.com/~hkario/marvin/"
},
{
"type": "REPORT",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2269567"
},
{
"type": "REPORT",
"url": "https://github.com/toddr/Crypt-OpenSSL-RSA/issues/42"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
],
"upstream": [
"CVE-2024-2467"
]
}
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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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