CVE-2016-5322 in LibTIFF
Summary
by MITRE
The setByteArray function in tif_dir.c in libtiff 4.0.6 and earlier allows remote attackers to cause a denial of service (out-of-bounds read) via a crafted tiff image.
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Analysis
by VulDB Data Team • 08/29/2020
The vulnerability identified as CVE-2016-5322 represents a critical out-of-bounds read flaw within the libtiff library version 4.0.6 and earlier, specifically within the setByteArray function located in the tif_dir.c source file. This issue arises from insufficient input validation and boundary checking when processing TIFF image files, creating a scenario where maliciously crafted image data can trigger unexpected memory access patterns. The vulnerability is particularly concerning as it can be exploited remotely through the processing of untrusted TIFF files, making it a significant threat to applications that handle image file parsing and manipulation.
The technical implementation of this vulnerability stems from the improper handling of byte array data structures within the TIFF directory parsing mechanism. When the setByteArray function processes image metadata, it fails to validate the bounds of the data being read, allowing attackers to craft TIFF files with malformed or oversized data sections that exceed the allocated memory boundaries. This flaw manifests as an out-of-bounds read operation that can cause application crashes, memory corruption, or potentially enable further exploitation techniques. The vulnerability is classified under CWE-129 as an "Improper Validation of Array Index" and aligns with ATT&CK technique T1203 "Exploitation for Client Execution" when leveraged in remote attack scenarios.
The operational impact of CVE-2016-5322 extends beyond simple denial of service conditions, as it can affect a wide range of applications that depend on libtiff for image processing capabilities. Systems utilizing this library for web applications, image servers, document management systems, and digital asset management platforms become vulnerable to remote exploitation. The vulnerability is particularly dangerous in environments where automated image processing occurs, as attackers can craft malicious TIFF files that will trigger the out-of-bounds read during routine file handling operations, potentially leading to system instability or service disruption. Additionally, the nature of the flaw means that any application processing TIFF images without proper input sanitization is at risk, making it a widespread concern across multiple software ecosystems.
Mitigation strategies for CVE-2016-5322 require immediate action to upgrade to libtiff version 4.0.7 or later, which contains the necessary patches to address the out-of-bounds read vulnerability. Organizations should implement comprehensive input validation measures that include strict bounds checking for all TIFF file processing operations, particularly when handling untrusted data sources. Network-level defenses should include content filtering mechanisms that can identify and block potentially malicious TIFF files, while application-level protections should incorporate proper error handling and memory management practices. Security teams should also conduct thorough vulnerability assessments of systems using libtiff to identify all potential attack vectors and ensure that proper sandboxing techniques are implemented when processing image files from external sources. The remediation process should include regular security updates and patch management protocols to prevent similar vulnerabilities from emerging in other library components or dependencies.