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CVE-2023-3618: Buffer Copy without Checking Size of Input ('Classic Buffer Overflow') in libtiff

0
Medium
VulnerabilityCVE-2023-3618cvecve-2023-3618
Published: Wed Jul 12 2023 (07/12/2023, 14:06:04 UTC)
Source: CVE Database V5
Product: libtiff

Description

A flaw was found in libtiff. A specially crafted tiff file can lead to a segmentation fault due to a buffer overflow in the Fax3Encode function in libtiff/tif_fax3.c, resulting in a denial of service.

AI-Powered Analysis

AILast updated: 11/03/2025, 22:05:12 UTC

Technical Analysis

CVE-2023-3618 is a classic buffer overflow vulnerability identified in the libtiff library, specifically within the Fax3Encode function located in the tif_fax3.c source file. The vulnerability arises from a failure to properly check the size of input data before copying it into a buffer, allowing a specially crafted TIFF file to overflow the buffer. This overflow leads to a segmentation fault, causing the application or service using libtiff to crash, resulting in a denial of service (DoS) condition. The vulnerability has a CVSS 3.1 base score of 6.5, indicating a medium severity level. The attack vector is network-based (AV:N), requiring no privileges (PR:N), but does require user interaction (UI:R) to open or process the malicious TIFF file. The scope is unchanged (S:U), and the impact is limited to availability (A:H) with no confidentiality or integrity impact. No known exploits have been reported in the wild, and no patches or fixes are linked in the provided data, suggesting that mitigation may currently rely on workarounds or vendor updates. The vulnerability affects all versions of libtiff that include the vulnerable Fax3Encode function, commonly used in image processing applications, document viewers, and other software handling TIFF images.

Potential Impact

For European organizations, the primary impact of CVE-2023-3618 is the potential for denial of service attacks that can disrupt services relying on libtiff for TIFF image processing. This could affect document management systems, imaging software, and any automated workflows that handle TIFF files, leading to downtime or degraded service availability. While the vulnerability does not compromise data confidentiality or integrity, service interruptions can impact business operations, especially in sectors like healthcare, government, publishing, and finance where TIFF images are prevalent. Additionally, denial of service conditions can be exploited as part of a broader attack to distract or degrade defenses. The lack of known exploits reduces immediate risk, but the ease of triggering the vulnerability via crafted TIFF files means attackers could weaponize it if patches are not applied promptly.

Mitigation Recommendations

European organizations should implement the following specific mitigations: 1) Identify and inventory all software and systems using libtiff, particularly those processing TIFF images. 2) Monitor vendor advisories and apply patches or updates as soon as they become available to address CVE-2023-3618. 3) Implement input validation and filtering at the application or network level to block or quarantine suspicious TIFF files from untrusted sources. 4) Employ sandboxing or isolation techniques for applications processing TIFF files to contain potential crashes and prevent service-wide impact. 5) Use intrusion detection or prevention systems to detect anomalous TIFF file processing or repeated crashes indicative of exploitation attempts. 6) Educate users about the risks of opening unsolicited or untrusted TIFF files to reduce the likelihood of triggering the vulnerability. 7) Maintain robust backup and recovery procedures to minimize downtime in case of denial of service incidents.

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Technical Details

Data Version
5.2
Assigner Short Name
redhat
Date Reserved
2023-07-11T14:46:05.545Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 69092145fe7723195e053fc3

Added to database: 11/3/2025, 9:40:21 PM

Last enriched: 11/3/2025, 10:05:12 PM

Last updated: 11/6/2025, 1:58:44 PM

Views: 2

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