GSD-2022-30522
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
If Apache HTTP Server 2.4.53 is configured to do transformations with mod_sed in contexts where the input to mod_sed may be very large, mod_sed may make excessively large memory allocations and trigger an abort.
Aliases
Aliases
{
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"alias": "CVE-2022-30522",
"description": "If Apache HTTP Server 2.4.53 is configured to do transformations with mod_sed in contexts where the input to mod_sed may be very large, mod_sed may make excessively large memory allocations and trigger an abort.",
"id": "GSD-2022-30522",
"references": [
"https://security.archlinux.org/CVE-2022-30522",
"https://www.suse.com/security/cve/CVE-2022-30522.html",
"https://ubuntu.com/security/CVE-2022-30522",
"https://alas.aws.amazon.com/cve/html/CVE-2022-30522.html",
"https://access.redhat.com/errata/RHSA-2022:6753",
"https://access.redhat.com/errata/RHSA-2022:7647",
"https://access.redhat.com/errata/RHSA-2022:8067",
"https://access.redhat.com/errata/RHSA-2022:8840",
"https://access.redhat.com/errata/RHSA-2022:8841"
]
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"gsd": {
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"remediation": "unknown",
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"id": "GSD-2022-30522",
"modified": "2023-12-13T01:19:36.981464Z",
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"impact": {
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"accessVector": "NETWORK",
"authentication": "NONE",
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"baseScore": 5.0,
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"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
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"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
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"lastModifiedDate": "2022-09-07T17:35Z",
"publishedDate": "2022-06-09T17:15Z"
}
}
}
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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 |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- 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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