CVE-2018-9303 in Exiv2info

Summary

by MITRE

In Exiv2 0.26, an assertion failure in BigTiffImage::readData in bigtiffimage.cpp results in an abort.

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Analysis

by VulDB Data Team • 01/21/2020

The vulnerability identified as CVE-2018-9303 represents a critical assertion failure within the Exiv2 image processing library version 0.26. This flaw exists in the BigTiffImage::readData function located in the bigtiffimage.cpp source file, where the software fails to properly validate input data structures before attempting to process them. The assertion failure occurs when the library encounters malformed or maliciously crafted BigTIFF image files, causing the application to terminate abruptly through an abort mechanism rather than gracefully handling the error condition. This behavior creates a potential denial of service scenario where legitimate applications using Exiv2 as a dependency could be terminated by specially crafted image files.

The technical nature of this vulnerability stems from inadequate input validation within the TIFF image parsing logic. When Exiv2 attempts to read data from BigTIFF format files, the BigTiffImage::readData function performs assertions to verify expected data structures and memory layouts. However, these assertions do not account for all possible malformed input scenarios, particularly those involving corrupted or maliciously constructed BigTIFF metadata fields. The assertion failure typically occurs during the parsing of image data segments where the library expects certain data patterns but encounters unexpected values. This type of vulnerability falls under CWE-617, which specifically addresses reachable assertions, and represents a classic example of insufficient error handling in security-critical code paths. The vulnerability is particularly concerning because it can be triggered through normal image processing operations, making it exploitable in environments where applications process untrusted image files from external sources.

The operational impact of CVE-2018-9303 extends beyond simple denial of service scenarios, as it can affect any application or system that relies on Exiv2 for image metadata processing or file format handling. Applications including digital asset management systems, photo editing software, web applications processing user-uploaded images, and content management systems that utilize Exiv2 for image metadata extraction could be vulnerable to this assertion failure. When triggered, the abort condition causes immediate application termination without proper cleanup, potentially leading to data loss or system instability in environments where multiple image processing operations occur concurrently. The vulnerability is particularly dangerous in web-facing applications where users can upload image files, as an attacker could craft a malicious BigTIFF file to crash the application server and potentially disrupt service availability. From an attack perspective, this vulnerability maps to ATT&CK technique T1499.004, which covers network denial of service attacks, and represents a form of resource exhaustion through application termination.

Mitigation strategies for CVE-2018-9303 primarily involve upgrading to Exiv2 version 0.27 or later, where the assertion failure has been addressed through improved input validation and error handling mechanisms. System administrators should prioritize patching affected systems, particularly those processing untrusted image files or serving as image repositories for user-generated content. Additional defensive measures include implementing input sanitization layers that validate image file integrity before processing, deploying application firewalls or intrusion prevention systems that can detect and block suspicious image file patterns, and establishing robust application monitoring to detect and respond to unexpected application terminations. Organizations should also consider implementing sandboxing mechanisms for image processing operations to limit the impact of potential exploitation attempts. The fix implemented in newer versions typically involves strengthening the assertion checks and adding proper error recovery pathways that prevent the abort condition from occurring while maintaining the library's ability to process legitimate image files with malformed metadata.

Reservation

04/04/2018

Disclosure

04/04/2018

Moderation

accepted

CPE

ready

EPSS

0.00433

KEV

no

Activities

very low

Sources

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