CVE-2023-40745 (GCVE-0-2023-40745)
Vulnerability from cvelistv5 – Published: 2023-10-05 18:55 – Updated: 2026-01-22 15:42
VLAI
EPSS
VEX
Title
Libtiff: integer overflow in tiffcp.c
Summary
LibTIFF is vulnerable to an integer overflow. This flaw allows remote attackers to cause a denial of service (application crash) or possibly execute an arbitrary code via a crafted tiff image, which triggers a heap-based buffer overflow.
Severity
6.5 (Medium)
CWE
- CWE-190 - Integer Overflow or Wraparound
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://access.redhat.com/errata/RHSA-2024:2289 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/security/cve/CVE-2023-40745 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2235265 | issue-trackingx_refsource_REDHAT |
| https://security.netapp.com/advisory/ntap-2023111… | x_transferred |
Impacted products
5 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
|
Affected:
0 , < 4.6.0
(semver)
|
||||
| Red Hat | Red Hat Enterprise Linux 9 |
Unaffected:
0:4.4.0-12.el9 , < *
(rpm)
cpe:/a:redhat:enterprise_linux:9::crb cpe:/a:redhat:enterprise_linux:9::appstream |
||
| Red Hat | Red Hat Enterprise Linux 6 |
cpe:/o:redhat:enterprise_linux:6
|
||
| Red Hat | Red Hat Enterprise Linux 7 |
cpe:/o:redhat:enterprise_linux:7
|
||
| Red Hat | Red Hat Enterprise Linux 8 |
cpe:/o:redhat:enterprise_linux:8
|
Date Public
2023-07-21 00:00
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"product_status:fixed": "42",
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"source": "Red Hat CSAF VEX",
"status": "final",
"title": "libtiff: integer overflow in tiffcp.c",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2023/cve-2023-40745.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2026-08-31T01:09:33Z",
"cve": "CVE-2023-40745",
"id": "CVE-2023-40745",
"initial_release_date": "2023-08-29T02:09:21Z",
"product_status:known_affected": "394",
"product_status:known_not_affected": "196",
"product_status:recommended": "65",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2023-40745",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2023-40745.json",
"version": "45"
}
}
}
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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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