CVE-2023-32284: CWE-119: Improper Restriction of Operations within the Bounds of a Memory Buffer in Accusoft ImageGear
An out-of-bounds write vulnerability exists in the tiff_planar_adobe functionality of Accusoft ImageGear 20.1. A specially crafted malformed file can lead to memory corruption. An attacker can provide a malicious file to trigger this vulnerability.
AI Analysis
Technical Summary
CVE-2023-32284 is an out-of-bounds write vulnerability classified under CWE-119, affecting the tiff_planar_adobe functionality in Accusoft ImageGear version 20.1. The vulnerability arises from improper restriction of operations within the bounds of a memory buffer when processing TIFF images. Specifically, a specially crafted malformed TIFF file can cause the software to write outside the allocated memory buffer, leading to memory corruption. This corruption can result in arbitrary code execution, denial of service, or data manipulation. The vulnerability has a CVSS v3.1 base score of 8.1, indicating high severity. The attack vector is network-based (AV:N), requiring no privileges (PR:N) or user interaction (UI:N), but with high attack complexity (AC:H), meaning exploitation requires specific conditions or expertise. The scope is unchanged (S:U), but the impact on confidentiality, integrity, and availability is high (C:H/I:H/A:H). No patches were available at the time of reporting, and no known exploits have been observed in the wild, but the risk remains significant due to the potential impact. ImageGear is a software development toolkit used for image processing in various industries, including document management, healthcare, and finance, which often handle TIFF files. The vulnerability's exploitation could allow remote attackers to compromise systems that process untrusted TIFF images, leading to severe consequences.
Potential Impact
For European organizations, the impact of CVE-2023-32284 can be substantial, especially for those relying on Accusoft ImageGear 20.1 in critical applications such as document processing, healthcare imaging, and financial services. Successful exploitation could lead to unauthorized disclosure of sensitive information, alteration or destruction of data, and disruption of services. This could result in regulatory non-compliance, financial losses, reputational damage, and operational downtime. Given the high confidentiality, integrity, and availability impacts, organizations processing large volumes of TIFF images from external or untrusted sources are particularly vulnerable. The lack of required authentication or user interaction increases the risk of remote exploitation. Although no active exploits are known, the vulnerability's presence in widely used imaging libraries means attackers could develop exploits, increasing the threat over time.
Mitigation Recommendations
Organizations should implement the following specific mitigations: 1) Monitor Accusoft's advisories closely and apply security patches or updates immediately once released to address CVE-2023-32284. 2) Restrict and validate all TIFF image inputs rigorously, especially those originating from untrusted or external sources, using file integrity checks and format validation tools. 3) Employ runtime application self-protection (RASP) or memory protection technologies such as Data Execution Prevention (DEP) and Address Space Layout Randomization (ASLR) to mitigate exploitation impact. 4) Isolate systems processing TIFF files in segmented network zones to limit potential lateral movement. 5) Conduct regular security assessments and fuzz testing on image processing components to detect similar vulnerabilities proactively. 6) Implement strict access controls and monitoring on systems using ImageGear to detect anomalous behavior indicative of exploitation attempts. 7) Educate developers and IT staff about secure handling of image files and the risks associated with third-party libraries.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Sweden
CVE-2023-32284: CWE-119: Improper Restriction of Operations within the Bounds of a Memory Buffer in Accusoft ImageGear
Description
An out-of-bounds write vulnerability exists in the tiff_planar_adobe functionality of Accusoft ImageGear 20.1. A specially crafted malformed file can lead to memory corruption. An attacker can provide a malicious file to trigger this vulnerability.
AI-Powered Analysis
Technical Analysis
CVE-2023-32284 is an out-of-bounds write vulnerability classified under CWE-119, affecting the tiff_planar_adobe functionality in Accusoft ImageGear version 20.1. The vulnerability arises from improper restriction of operations within the bounds of a memory buffer when processing TIFF images. Specifically, a specially crafted malformed TIFF file can cause the software to write outside the allocated memory buffer, leading to memory corruption. This corruption can result in arbitrary code execution, denial of service, or data manipulation. The vulnerability has a CVSS v3.1 base score of 8.1, indicating high severity. The attack vector is network-based (AV:N), requiring no privileges (PR:N) or user interaction (UI:N), but with high attack complexity (AC:H), meaning exploitation requires specific conditions or expertise. The scope is unchanged (S:U), but the impact on confidentiality, integrity, and availability is high (C:H/I:H/A:H). No patches were available at the time of reporting, and no known exploits have been observed in the wild, but the risk remains significant due to the potential impact. ImageGear is a software development toolkit used for image processing in various industries, including document management, healthcare, and finance, which often handle TIFF files. The vulnerability's exploitation could allow remote attackers to compromise systems that process untrusted TIFF images, leading to severe consequences.
Potential Impact
For European organizations, the impact of CVE-2023-32284 can be substantial, especially for those relying on Accusoft ImageGear 20.1 in critical applications such as document processing, healthcare imaging, and financial services. Successful exploitation could lead to unauthorized disclosure of sensitive information, alteration or destruction of data, and disruption of services. This could result in regulatory non-compliance, financial losses, reputational damage, and operational downtime. Given the high confidentiality, integrity, and availability impacts, organizations processing large volumes of TIFF images from external or untrusted sources are particularly vulnerable. The lack of required authentication or user interaction increases the risk of remote exploitation. Although no active exploits are known, the vulnerability's presence in widely used imaging libraries means attackers could develop exploits, increasing the threat over time.
Mitigation Recommendations
Organizations should implement the following specific mitigations: 1) Monitor Accusoft's advisories closely and apply security patches or updates immediately once released to address CVE-2023-32284. 2) Restrict and validate all TIFF image inputs rigorously, especially those originating from untrusted or external sources, using file integrity checks and format validation tools. 3) Employ runtime application self-protection (RASP) or memory protection technologies such as Data Execution Prevention (DEP) and Address Space Layout Randomization (ASLR) to mitigate exploitation impact. 4) Isolate systems processing TIFF files in segmented network zones to limit potential lateral movement. 5) Conduct regular security assessments and fuzz testing on image processing components to detect similar vulnerabilities proactively. 6) Implement strict access controls and monitoring on systems using ImageGear to detect anomalous behavior indicative of exploitation attempts. 7) Educate developers and IT staff about secure handling of image files and the risks associated with third-party libraries.
Affected Countries
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Technical Details
- Data Version
- 5.2
- Assigner Short Name
- talos
- Date Reserved
- 2023-05-12T10:12:48.600Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 690a53202a90255b94da5ffc
Added to database: 11/4/2025, 7:25:20 PM
Last enriched: 11/4/2025, 8:35:36 PM
Last updated: 11/6/2025, 12:04:34 PM
Views: 4
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