CVE-2007-6352 in libexif
Summary
by MITRE
Integer overflow in libexif 0.6.16 and earlier allows context-dependent attackers to execute arbitrary code via an image with crafted EXIF tags, possibly involving the exif_data_load_data_thumbnail function in exif-data.c.
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Analysis
by VulDB Data Team • 08/02/2019
The vulnerability identified as CVE-2007-6352 represents a critical integer overflow flaw within the libexif library version 0.6.16 and earlier, which serves as a foundational component for handling exchangeable image file format metadata in various image processing applications. This vulnerability exists within the exif_data_load_data_thumbnail function located in the exif-data.c source file, where improper input validation and arithmetic operations create conditions that can be exploited by malicious actors to achieve arbitrary code execution. The integer overflow occurs when the library processes crafted EXIF tags within image files, specifically when handling thumbnail data that exceeds the bounds of a 32-bit integer, leading to potential memory corruption and exploitation opportunities.
The technical exploitation of this vulnerability leverages the fundamental weakness in how libexif manages memory allocation for thumbnail data structures. When an attacker crafts an image file containing specially formatted EXIF tags with oversized thumbnail dimensions, the library's internal calculations overflow the integer variables used to determine memory allocation sizes. This overflow results in insufficient memory being allocated for the thumbnail data structure, creating a buffer underflow condition that can be manipulated to overwrite adjacent memory regions. The vulnerability is context-dependent because it requires that the affected application actually processes the crafted image file through the libexif library, making it particularly dangerous in image viewing applications, photo management software, and any system that automatically parses EXIF metadata without proper input sanitization.
From an operational perspective, this vulnerability poses significant risks to systems that process untrusted image files, as it can be exploited through various attack vectors including web applications, email attachments, and file sharing platforms. The exploitability of CVE-2007-6352 aligns with the ATT&CK framework's technique T1203 - Exploitation for Client Execution, where adversaries leverage software vulnerabilities to execute arbitrary code on target systems. The impact extends beyond simple code execution to potentially enable privilege escalation or persistent access, especially when exploited in applications running with elevated privileges. Security researchers have classified this vulnerability as a high-severity issue due to its potential for remote code execution and the widespread adoption of libexif in numerous image processing applications across different operating systems and platforms.
The mitigation strategies for CVE-2007-6352 primarily focus on immediate remediation through library updates to versions that contain proper integer overflow protections and input validation mechanisms. Organizations should prioritize patching all systems that utilize libexif or applications that depend on it, particularly those handling user-provided image content. Additional defensive measures include implementing strict input validation for EXIF metadata, deploying network segmentation to limit exposure, and utilizing application whitelisting to prevent execution of untrusted image processing applications. The vulnerability demonstrates the importance of proper integer handling in security-critical libraries and aligns with CWE-190 - Integer Overflow or Wraparound, which specifically addresses the risks associated with arithmetic operations that exceed the bounds of integer data types. Regular security assessments and vulnerability scanning should include checks for outdated libexif installations, as this vulnerability has remained relevant in various exploitation scenarios due to its persistent nature in legacy software deployments.