CVE-2015-1547 in LibTIFF
Summary
by MITRE
The NeXTDecode function in tif_next.c in LibTIFF allows remote attackers to cause a denial of service (uninitialized memory access) via a crafted TIFF image, as demonstrated by libtiff5.tif.
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Analysis
by VulDB Data Team • 07/24/2022
The vulnerability identified as CVE-2015-1547 resides within the NeXTDecode function located in the tif_next.c file of the LibTIFF library, representing a critical security flaw that enables remote attackers to execute denial of service attacks through manipulation of TIFF image files. This issue specifically affects the processing of NeXT format TIFF images where the library fails to properly initialize memory before accessing it, creating a scenario where uninitialized memory values are read and processed. The vulnerability manifests when a maliciously crafted TIFF image is processed by software utilizing the affected LibTIFF library, leading to unpredictable behavior and system instability. The attack vector is particularly concerning as it requires no authentication or special privileges, making it accessible to any remote attacker who can induce a target system to process the malicious image file. This flaw directly relates to CWE-457, which describes the use of uninitialized variables in software systems, and can be categorized under the ATT&CK technique T1499.100 for Network Denial of Service, as it specifically targets network-based services that process image files. The vulnerability impacts a wide range of applications that depend on LibTIFF for image processing, including web servers, image viewers, and document management systems, making it a significant threat to system availability and service continuity.
The technical implementation of this vulnerability stems from improper memory management within the NeXTDecode function where the code attempts to access memory locations that have not been properly initialized with known values. When processing a crafted TIFF image, the function reads from uninitialized memory regions, potentially causing the application to access random memory values or even crash entirely. This uninitialized memory access pattern represents a fundamental flaw in the library's defensive programming practices and can result in unpredictable program behavior, including segmentation faults, memory corruption, or complete application termination. The specific nature of the flaw means that the vulnerability is not limited to a particular operating system or architecture but affects all systems running vulnerable versions of LibTIFF. The demonstration using libtiff5.tif shows that even seemingly benign image processing tasks can become vectors for system compromise when the underlying library contains such memory management defects, highlighting the importance of robust input validation and proper initialization practices in security-critical software components.
The operational impact of CVE-2015-1547 extends beyond simple service disruption to potentially enable more sophisticated attack scenarios depending on the environment where the vulnerable software operates. Web applications that accept user-uploaded images, email servers processing image attachments, and content management systems handling multimedia content are all at risk of experiencing service degradation or complete outages when processing malicious TIFF files. The vulnerability can be exploited in various contexts including web application attacks, where attackers upload specially crafted images to cause server crashes, or in network-based attacks where the vulnerability is leveraged to disrupt services. Organizations using vulnerable software may experience significant downtime, loss of service availability, and potential data integrity issues. The remote nature of the attack means that exploitation can occur without direct system access, making it particularly dangerous for cloud-based services and applications that process external content. From an ATT&CK perspective, this vulnerability aligns with techniques such as T1059 for command and scripting interpreter and T1499 for network denial of service, as it enables attackers to disrupt system operations through indirect means. The vulnerability also demonstrates the importance of proper software supply chain security, as the flaw exists in a widely-used library that affects numerous downstream applications, making it a prime target for attackers seeking to maximize their impact across multiple systems.
Mitigation strategies for CVE-2015-1547 primarily focus on updating to patched versions of LibTIFF where the memory initialization issues have been resolved through proper code review and defensive programming practices. System administrators should prioritize upgrading their LibTIFF installations to versions that contain the relevant security fixes, which typically involve ensuring that all memory variables are properly initialized before use in the NeXTDecode function. Additional protective measures include implementing input validation mechanisms that reject suspicious or malformed TIFF files before they reach the vulnerable library code, deploying network segmentation to limit the impact of potential exploitation, and establishing monitoring systems to detect unusual service behavior that may indicate exploitation attempts. Organizations should also consider implementing application sandboxing or containerization techniques to isolate vulnerable applications and limit the potential damage from successful exploitation. The remediation process should include comprehensive testing to ensure that the patched library functions correctly with existing applications while addressing the specific memory initialization issues. Security teams should monitor for similar vulnerabilities in other image processing libraries and maintain awareness of the evolving threat landscape related to multimedia file processing attacks, as this vulnerability type often indicates broader issues with memory management in security-critical code components.