CVE-2022-2953 is a vulnerability affecting LibTIFF version 4.4.0, characterized by an out-of-bounds read in the function extractImageSection located in tools/tiffcrop.c:6905. This vulnerability allows attackers to cause a denial-of-service (DoS) by using a specially crafted TIFF file. The CVSS score for this vulnerability is 5.5, indicating a medium severity level that necessitates attention from organizations utilizing affected software.
Risk to organizations includes potential service disruption due to the denial-of-service condition triggered by this vulnerability. Attackers may leverage this weakness to exploit local user interactions, making it particularly important for systems that process TIFF files. Organizations should prioritize patching immediately.
The vulnerability was published on August 29, 2022, and has been modified as of November 21, 2024. Users who compile LibTIFF from source can apply the fix available with commit 48d6ece8. For users of NetApp ONTAP and Debian Linux, updates are also required to mitigate this risk.
Given the availability of a patch and the nature of the vulnerability, organizations utilizing affected versions should address this issue in their priority patch cycle.
Vulnerability Details
LibTIFF 4.4.0 has an out-of-bounds read in extractImageSection in tools/tiffcrop.c:6905, allowing attackers to cause a denial-of-service via a crafted TIFF file. For users that compile LibTIFF from sources, the fix is available with commit 48d6ece8.
The CVSS score for this vulnerability is 5.5, categorized as medium severity. The attack vector is local, requiring user interaction, with low complexity and no privileges required for exploitation. The impact on availability is rated as high, while confidentiality and integrity impacts are none.
Affected products include LibTIFF and NetApp ONTAP, particularly versions prior to the application of patches. The vulnerability is classified under CWE-125.
Technical Analysis
The root cause of this vulnerability stems from improper handling of TIFF files, leading to out-of-bounds memory access. This coding flaw can be exploited by providing a manipulated TIFF file that triggers the vulnerability when processed by the LibTIFF library.
The attack vector is local, meaning that an attacker must have access to the system where the vulnerability exists, and user interaction is required to open the crafted TIFF file. The attack complexity is rated as low, as it does not require any specialized skills to execute.
Given that confidentiality and integrity impacts are rated as none, the primary concern revolves around the availability impact, which is rated high. This indicates that successful exploitation could lead to significant service disruptions.
Risk & Impact Analysis
Organizations utilizing LibTIFF and NetApp ONTAP should be cognizant of the potential risks inherent in CVE-2022-2953. The fact that it allows for denial-of-service attacks presents a considerable risk, especially for environments that rely on the processing of TIFF files. The blast radius could extend to all systems using the affected versions, leading to widespread service availability issues.
Given the medium severity rating and the impact on availability, organizations should prioritize remediation efforts based on their risk management policies. The associated CVSS score indicates that while the threat is not critical, it demands timely attention to prevent potential service interruptions.
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
The affected versions of the vulnerable products include LibTIFF 4.4.0 and all prior versions, as well as specific versions of the NetApp ONTAP Select Deploy Administration Utility and Debian Linux 11.0. Organizations should ensure they are using patched versions to mitigate this vulnerability.
Mitigation & Remediation
Organizations should apply the available patches for LibTIFF and related products immediately. The specific fix for LibTIFF can be found in commit 48d6ece8. Additionally, users of NetApp and Debian should monitor for updates and apply them as soon as possible.
In cases where immediate patching is not feasible, organizations should implement strict file validation techniques to scrutinize TIFF files before processing. This could include file type checks and size limitations to prevent malicious files from being handled.
For more comprehensive security, organizations can consider engaging in penetration testing to identify other potential weaknesses in their systems.
Detection Guidance
To detect potential exploitation of CVE-2022-2953, organizations should monitor for logs indicating attempts to open or process TIFF files. Behavioral anomalies, such as unexpected application crashes or memory access violations, should also be investigated.
Network signatures can be established to flag malicious TIFF files that may be attempting to exploit this vulnerability. Regular audits and reviews of system changes, particularly around updates and new software deployments, should also be conducted to identify any suspicious activities.
AppSecure Threat Intelligence Insight
The emergence of CVE-2022-2953 highlights the ongoing risks associated with local vulnerabilities, especially those that require user interaction. Security teams should recognize that while this vulnerability does not currently have known exploits, the potential for future exploitation remains.
It is crucial for security teams to maintain a proactive posture by regularly updating and patching software, conducting vulnerability assessments, and fostering a culture of security awareness among users. For further insights into strengthening security postures, organizations can refer to our resources on vulnerability management programs and penetration testing methodologies to enhance overall security strategies.
Understanding the patterns of vulnerabilities like CVE-2022-2953 can inform future development practices and vulnerability assessments, ultimately leading to stronger defenses.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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