CVE-2016-9532 (GCVE-0-2016-9532)
Vulnerability from cvelistv5 – Published: 2017-02-06 17:00 – Updated: 2024-08-06 02:50
VLAI
EPSS
VEX
Summary
Integer overflow in the writeBufferToSeparateStrips function in tiffcrop.c in LibTIFF before 4.0.7 allows remote attackers to cause a denial of service (out-of-bounds read) via a crafted tif file.
Severity
5.5 (Medium)
CWE
- n/a
Assigner
References
8 references
| URL | Tags |
|---|---|
| http://www.securityfocus.com/bid/94424 | vdb-entryx_refsource_BID |
| https://bugzilla.redhat.com/show_bug.cgi?id=1397726 | x_refsource_CONFIRM |
| https://security.gentoo.org/glsa/201701-16 | vendor-advisoryx_refsource_GENTOO |
| http://www.openwall.com/lists/oss-security/2016/11/22/1 | mailing-listx_refsource_MLIST |
| http://www.openwall.com/lists/oss-security/2016/1… | mailing-listx_refsource_MLIST |
| http://bugzilla.maptools.org/show_bug.cgi?id=2592 | x_refsource_CONFIRM |
| http://www.debian.org/security/2017/dsa-3762 | vendor-advisoryx_refsource_DEBIAN |
| http://www.openwall.com/lists/oss-security/2016/11/21/1 | mailing-listx_refsource_MLIST |
Date Public
2016-11-11 00:00
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"aggregate_severity": "Low",
"current_release_date": "2026-05-13T03:53:54+00:00",
"cve": "CVE-2016-9532",
"id": "CVE-2016-9532",
"initial_release_date": "2016-11-11T00:00:00+00:00",
"product_status:known_affected": "12",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "libtiff: Multiple uint32 overflows leading to heap buffer over-read",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2016/cve-2016-9532.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2026-09-05T23:54:42Z",
"cve": "CVE-2016-9532",
"id": "CVE-2016-9532",
"initial_release_date": "2023-02-15T04:55:41Z",
"product_status:known_not_affected": "159",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2016-9532",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2016-9532.json",
"version": "12"
}
}
}
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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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