CVE-2018-5360 in LibTIFF
Summary
by MITRE
LibTIFF 4.0.9 mishandles the reading of TIFF files, as demonstrated by a heap-based buffer over-read in the ReadTIFFImage function in coders/tiff.c in GraphicsMagick 1.3.27.
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Analysis
by VulDB Data Team • 01/20/2023
The vulnerability identified as CVE-2018-5360 represents a critical heap-based buffer over-read flaw within the LibTIFF library version 4.0.9 that affects the GraphicsMagick 1.3.27 implementation. This issue manifests specifically within the ReadTIFFImage function located in the coders/tiff.c file, where improper handling of TIFF file structures leads to memory access violations that can be exploited by malicious actors. The flaw occurs when the library attempts to read TIFF image files without adequate bounds checking on buffer allocations, creating opportunities for attackers to manipulate memory access patterns through crafted input files. The vulnerability falls under the Common Weakness Enumeration category of CWE-125, which describes out-of-bounds read conditions that can result in information disclosure, system instability, or potential code execution. From an operational perspective, this vulnerability poses significant risks to systems that process untrusted TIFF image files, as it can be leveraged for remote code execution or denial of service attacks when the affected GraphicsMagick library processes maliciously crafted images. The attack surface is particularly broad given that TIFF format is widely used in document management systems, image processing pipelines, and various web applications that handle user-uploaded content. The memory corruption aspect of this vulnerability aligns with ATT&CK technique T1203, which involves exploitation of memory corruption vulnerabilities to gain unauthorized access or disrupt system operations.
The technical implementation of this flaw stems from insufficient validation of TIFF file headers and metadata structures during the image parsing process. When GraphicsMagick encounters a TIFF file, it relies on LibTIFF for parsing the underlying data structures, including image dimensions, color space information, and compression parameters. The vulnerability occurs when the library fails to properly validate the size parameters specified in the TIFF file's metadata, leading to scenarios where the allocated buffer size does not match the actual data requirements. This mismatch allows attackers to craft TIFF files with malformed size fields that cause the ReadTIFFImage function to read beyond the allocated heap memory boundaries. The heap-based nature of the over-read means that the vulnerability can potentially expose sensitive data from adjacent memory locations, including stack contents, heap metadata, or other process memory segments. The exploitation of this vulnerability requires careful crafting of TIFF files that specifically target the buffer management logic within the library's image parsing code path.
The operational impact of CVE-2018-5360 extends beyond simple denial of service conditions to encompass potential privilege escalation and information disclosure scenarios. Systems that process user-uploaded TIFF files, such as content management systems, web applications, and image processing services, become vulnerable to remote exploitation when they utilize affected versions of GraphicsMagick or LibTIFF. The vulnerability can be triggered through various attack vectors including email attachments, file upload interfaces, or web-based image processing services that accept TIFF format inputs. Security researchers have noted that the memory corruption characteristics of this vulnerability make it particularly attractive for exploitation, as it can be combined with other techniques to achieve more sophisticated attacks. The widespread adoption of TIFF format in enterprise environments and the prevalence of GraphicsMagick in image processing workflows amplify the potential impact of this vulnerability across multiple industries and application domains. Organizations that fail to patch this vulnerability remain at risk of unauthorized access to sensitive systems and data breaches.
Mitigation strategies for CVE-2018-5360 focus primarily on immediate patching of affected software components and implementation of input validation measures. System administrators should prioritize updating GraphicsMagick to versions that incorporate fixed LibTIFF libraries, specifically targeting version 1.3.28 or later where the vulnerability has been addressed. The patching process should include thorough testing to ensure that updated libraries maintain compatibility with existing image processing workflows while eliminating the buffer over-read condition. Organizations should also implement additional security controls such as restricting file upload capabilities, implementing strict file format validation, and deploying sandboxing mechanisms for image processing tasks. Network-based mitigations can include content filtering solutions that scan TIFF files for known malicious patterns and implement rate limiting for image processing requests to prevent exploitation attempts. The vulnerability's classification as a memory corruption issue emphasizes the importance of implementing robust memory protection mechanisms such as stack canaries, address space layout randomization, and heap integrity checks. Regular security assessments and vulnerability scanning should be conducted to identify systems that may still be running vulnerable versions of the affected libraries, particularly in legacy environments where patching may be delayed or complex.