CVE-2017-14997 (GCVE-0-2017-14997)
Vulnerability from cvelistv5 – Published: 2017-10-03 07:00 – Updated: 2024-08-05 19:42
VLAI
EPSS
VEX
Summary
GraphicsMagick 1.3.26 allows remote attackers to cause a denial of service (excessive memory allocation) because of an integer underflow in ReadPICTImage in coders/pict.c.
Severity
6.5 (Medium)
CWE
- n/a
Assigner
References
9 references
| URL | Tags |
|---|---|
| http://hg.graphicsmagick.org/hg/GraphicsMagick?cm… | x_refsource_CONFIRM |
| https://www.debian.org/security/2018/dsa-4321 | vendor-advisoryx_refsource_DEBIAN |
| http://www.securityfocus.com/bid/101183 | vdb-entryx_refsource_BID |
| https://sourceforge.net/p/graphicsmagick/bugs/511/ | x_refsource_CONFIRM |
| https://lists.debian.org/debian-lts-announce/2018… | mailing-listx_refsource_MLIST |
| https://sourceforge.net/p/graphicsmagick/code/ci/… | x_refsource_CONFIRM |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisoryx_refsource_FEDORA |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisoryx_refsource_FEDORA |
| https://usn.ubuntu.com/4232-1/ | vendor-advisoryx_refsource_UBUNTU |
Date Public
2017-10-03 00:00
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"id": "CVE-2017-14997",
"initial_release_date": "2017-09-29T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "GraphicsMagick: Integer underflow in the ReadPICTImage",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2017/cve-2017-14997.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "low",
"current_release_date": "2026-08-27T01:27:21Z",
"cve": "CVE-2017-14997",
"id": "CVE-2017-14997",
"initial_release_date": "2023-02-15T04:38:56Z",
"product_status:known_affected": "99",
"product_status:known_not_affected": "46",
"product_status:recommended": "152",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2017-14997",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2017-14997.json",
"version": "14"
}
}
}
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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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