CVE-2018-3860 in Canvas Draw
Summary
by MITRE
An exploitable out-of-bounds write exists in the TIFF parsing functionality of Canvas Draw version 4.0.0. A specially crafted TIFF image processed via the application can lead to an out-of-bounds write, overwriting arbitrary data. An attacker can deliver a TIFF image to trigger this vulnerability and gain the ability to execute code. A different vulnerability than CVE-2018-3859.
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Analysis
by VulDB Data Team • 04/18/2023
The vulnerability identified as CVE-2018-3860 represents a critical out-of-bounds write flaw within the TIFF parsing implementation of Canvas Draw version 4.0.0. This security weakness falls under the Common Weakness Enumeration category CWE-787, which specifically addresses out-of-bounds write conditions that can lead to arbitrary code execution. The vulnerability manifests when the application processes specially crafted TIFF image files, exploiting a fundamental flaw in how the software handles memory allocation during image parsing operations. The affected application fails to properly validate the boundaries of memory regions when interpreting TIFF file structures, creating opportunities for attackers to manipulate memory contents through carefully constructed input data.
The technical exploitation of this vulnerability occurs through a sophisticated attack vector that leverages the TIFF file format's complex structure and parsing mechanisms. When Canvas Draw encounters a malformed TIFF image, the application's parsing routine fails to enforce proper bounds checking on array accesses, allowing an attacker to write data beyond the intended memory boundaries. This flaw enables attackers to overwrite adjacent memory locations with controlled data, potentially corrupting critical program structures or injecting malicious code into the application's execution flow. The vulnerability's exploitation requires precise control over the TIFF file structure to ensure that the out-of-bounds write targets specific memory regions that can be leveraged for code execution.
From an operational perspective, this vulnerability presents significant risk to organizations that rely on Canvas Draw for image processing tasks. The attack requires minimal user interaction beyond the delivery of a malicious TIFF file, making it particularly dangerous in environments where users may encounter untrusted image content. Successful exploitation can lead to complete system compromise, as the out-of-bounds write allows attackers to execute arbitrary code with the privileges of the Canvas Draw application. This capability enables attackers to escalate privileges, install backdoors, or perform other malicious activities without requiring additional attack vectors. The vulnerability's similarity to CVE-2018-3859 demonstrates a pattern of memory corruption flaws within the application's image processing capabilities, highlighting the need for comprehensive code review and input validation.
Security mitigation strategies for CVE-2018-3860 should focus on immediate patching of the affected Canvas Draw version 4.0.0 to address the underlying memory handling issues. Organizations should implement strict file validation policies that verify TIFF file integrity before processing, utilizing automated tools to scan for potentially malicious image content. Network segmentation and application whitelisting can help prevent unauthorized execution of the vulnerable application, while regular security assessments should be conducted to identify similar vulnerabilities in other image processing components. The ATT&CK framework categorizes this vulnerability under T1059.007 for Windows Command Shell and T1203 for Exploitation for Client Execution, emphasizing the need for layered defensive measures including endpoint detection and response capabilities. Additionally, implementing memory protection mechanisms such as stack canaries and address space layout randomization can provide additional defense in depth against exploitation attempts.