FKIE_CVE-2024-57835
Vulnerability from fkie_nvd - Published: 2025-04-05 16:15 - Updated: 2026-06-17 08:14
Severity
Summary
Amon2::Auth::Site::LINE uses the String::Random module to generate nonce values.
String::Random defaults to Perl's built-in predictable random number generator, the rand() function, which is not cryptographically secure
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| nipotan | line_integration_for_amon2 | * |
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://cpan.org/modules",
"defaultStatus": "unaffected",
"packageName": "Amon2-Auth-Site-LINE",
"product": "Amon2::Auth::Site::LINE",
"programFiles": [
"lib/Amon2/Auth/Site/LINE.pm"
],
"repo": "https://github.com/nipotan/p5-Amon2-Auth-Site-LINE",
"vendor": "TANIGUCHI",
"versions": [
{
"lessThanOrEqual": "0.04",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:nipotan:line_integration_for_amon2:*:*:*:*:*:*:*:*",
"matchCriteriaId": "111E0891-2A13-4EFB-BFA7-24C832E4594F",
"versionEndExcluding": "0.04",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Amon2::Auth::Site::LINE uses the String::Random module\u00a0to generate nonce values.\u00a0\n\nString::Random\u00a0defaults to Perl\u0027s built-in predictable\u00a0random number generator,\u00a0the rand() function, which is not cryptographically secure"
},
{
"lang": "es",
"value": "Amon2::Auth::Site::LINE utiliza el m\u00f3dulo String::Random para generar valores nonce. String::Random utiliza por defecto el generador de n\u00fameros aleatorios predecibles integrado de Perl, la funci\u00f3n rand(), que no es criptogr\u00e1ficamente segura."
}
],
"id": "CVE-2024-57835",
"lastModified": "2026-06-17T08:14:05.457",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:L",
"version": "3.1"
},
"exploitabilityScore": 2.1,
"impactScore": 3.4,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2024-57835",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-04-07T14:33:42.859939Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-04-05T16:15:32.143",
"references": [
{
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"tags": [
"Product"
],
"url": "https://metacpan.org/release/SHLOMIF/String-Random-0.32/source/lib/String/Random.pm#L377"
},
{
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"tags": [
"Product"
],
"url": "https://metacpan.org/release/TANIGUCHI/Amon2-Auth-Site-LINE-0.04/source/lib/Amon2/Auth/Site/LINE.pm#L235"
},
{
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"tags": [
"Product"
],
"url": "https://metacpan.org/release/TANIGUCHI/Amon2-Auth-Site-LINE-0.04/source/lib/Amon2/Auth/Site/LINE.pm#L255"
},
{
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"tags": [
"Technical Description"
],
"url": "https://security.metacpan.org/docs/guides/random-data-for-security.html"
}
],
"sourceIdentifier": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-338"
}
],
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-338"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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