CVE-2022-3970 in LibTIFF
Summary
by MITRE • 11/13/2022
A vulnerability was found in LibTIFF. It has been classified as critical. This affects the function TIFFReadRGBATileExt of the file libtiff/tif_getimage.c. The manipulation leads to integer overflow. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. The name of the patch is 227500897dfb07fb7d27f7aa570050e62617e3be. It is recommended to apply a patch to fix this issue. The identifier VDB-213549 was assigned to this vulnerability.
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Analysis
by VulDB Data Team • 06/17/2025
The vulnerability identified as CVE-2022-3970 represents a critical integer overflow flaw within the LibTIFF library, specifically within the TIFFReadRGBATileExt function located in libtiff/tif_getimage.c. This issue arises from insufficient input validation when processing TIFF image files, creating a scenario where maliciously crafted image data can trigger unexpected behavior in the affected software systems. The vulnerability's classification as critical underscores its potential for severe impact, as integer overflows in image processing libraries can lead to memory corruption and arbitrary code execution. The flaw is particularly concerning because it can be exploited remotely through the processing of malicious TIFF files, making it accessible to attackers without requiring local system access.
The technical implementation of this vulnerability stems from improper handling of integer arithmetic during the TIFF image decoding process. When the TIFFReadRGBATileExt function processes image data, it fails to properly validate the dimensions and memory requirements of the image tiles being read. This oversight allows an attacker to craft TIFF files with intentionally crafted dimensions that cause integer overflow during memory allocation calculations. The resulting overflow can lead to heap corruption, which may be exploited to execute arbitrary code with the privileges of the affected application. This vulnerability directly maps to CWE-190, Integer Overflow or Wraparound, and aligns with ATT&CK technique T1203, Exploitation for Client Execution, when the vulnerability is leveraged in web-based applications or file processing systems.
The operational impact of CVE-2022-3970 extends beyond simple image processing applications, affecting any software that relies on LibTIFF for TIFF file handling, including image viewers, document management systems, content management platforms, and web applications that process user-uploaded images. The public disclosure of exploit code increases the risk significantly, as attackers can readily implement automated exploitation against vulnerable systems. Remote exploitation capabilities make this vulnerability particularly dangerous in web environments where users may unknowingly trigger the vulnerability through image previews or automatic processing of uploaded content. Organizations using affected software may experience service disruption, data compromise, or complete system compromise depending on the application's privilege level and the specific exploitation vector used.
Mitigation strategies for CVE-2022-3970 require immediate patch application as the primary defense mechanism, utilizing the official patch identified by the commit hash 227500897dfb07fb7d27f7aa570050e62617e3be. System administrators should prioritize updating all affected applications and libraries that depend on LibTIFF, particularly those handling untrusted image files from external sources. Network segmentation and file validation measures can provide additional defense-in-depth, including implementing strict file type validation, scanning uploaded images for malicious patterns, and restricting TIFF file processing to trusted environments. Security monitoring should focus on detecting unusual file processing patterns and potential exploitation attempts. Organizations should also consider implementing sandboxing mechanisms for image processing operations and regularly review their software inventory to identify and remediate other potentially affected libraries. The vulnerability demonstrates the critical importance of maintaining up-to-date third-party libraries and implementing robust input validation practices in image processing applications, as highlighted by ATT&CK tactic TA0005, Defense Evasion, when attackers leverage such vulnerabilities to bypass security controls.