CVE-2026-52490 in LibTIFF
Summary
by MITRE • 08/24/2026
An issue in libtiff 85f2ac8e0b01cb7db2bbecf4a3b891bdbef67938 allows an attacker to execute arbitrary code via the process_command_opts() function in tools/tiffcrop.c
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Analysis
by VulDB Data Team • 08/24/2026
The vulnerability identified within libtiff, specifically linked to commit 85f2ac8e0b01cb7db2bbecf4a3b891bdbef67938, represents a critical security flaw located in the tiffcrop utility. This tool is part of the broader LibTIFF library ecosystem and is designed for manipulating TIFF image files. The core issue resides within the process_command_opts() function found in tools/tiffcrop.c. During its operation, this function handles command-line options passed by users or invoked through automated scripts. The flaw arises from insufficient validation of input parameters provided to these commands, creating a pathway for an attacker to inject malicious payloads that can be executed with the privileges of the user running the tiffcrop utility.
From a technical perspective, the vulnerability is characterized as a command injection or arbitrary code execution defect resulting from improper neutralization of special elements used in operating system commands. When process_command_opts() processes specific arguments without adequate sanitization, it may pass unsanitized data directly to underlying shell interpreters or system call functions. This allows an attacker who can influence the input parameters—potentially through a crafted TIFF file that triggers specific command-line behaviors during processing—to execute arbitrary code on the host system. The severity of this issue is compounded by the fact that image processing tools are often used in automated pipelines where untrusted data may be processed, increasing the attack surface significantly.
The operational impact of this vulnerability extends beyond simple application crashes or denial of service. Because it enables remote code execution under certain conditions, an attacker could gain full control over the affected system if they can trick a user into processing a maliciously crafted TIFF file using tiffcrop. This could lead to data exfiltration, installation of malware, pivoting within a network, or complete compromise of the host environment. The risk is particularly high in environments where libtiff and its associated tools are deployed as part of larger image processing workflows that handle inputs from external sources without rigorous validation layers.
This vulnerability aligns with CWE-78, which describes Improper Neutralization of Special Elements used in an OS Command (OS Command Injection). It also maps to MITRE ATT&CK technique T1059, specifically sub-technique 004 for Command and Scripting Interpreter abuse, as the attacker leverages system commands to achieve execution. Furthermore, depending on how the input is triggered, it may relate to CWE-20 Improper Input Validation if the root cause lies in failing to verify that inputs conform to expected formats before processing.
Mitigation strategies should focus primarily on updating libtiff to a version where this specific commit has been integrated and patched. Users relying on tiffcrop must ensure they are not using versions prior to the fix associated with hash 85f2ac8e0b01cb7db2bbecf4a3b891bdbef67938. In addition to software updates, defensive measures include implementing strict input validation at the application level before invoking tiffcrop, avoiding direct user control over command-line arguments when possible, and employing least-privilege principles by running image processing tasks in restricted environments or containers with limited system access. Monitoring for unusual process creation events related to shell interpreters can also aid in detecting exploitation attempts in real-time.