CVE-2022-24720: CWE-20: Improper Input Validation in janko image_processing
image_processing is an image processing wrapper for libvips and ImageMagick/GraphicsMagick. Prior to version 1.12.2, using the `#apply` method from image_processing to apply a series of operations that are coming from unsanitized user input allows the attacker to execute shell commands. This method is called internally by Active Storage variants, so Active Storage is vulnerable as well. The vulnerability has been fixed in version 1.12.2 of image_processing. As a workaround, users who process based on user input should always sanitize the user input by allowing only a constrained set of operations.
AI Analysis
Technical Summary
CVE-2022-24720 is a vulnerability in the 'image_processing' Ruby gem, a wrapper for image manipulation libraries libvips and ImageMagick/GraphicsMagick. The flaw exists in versions prior to 1.12.2 within the `#apply` method, which processes a series of image operations. When these operations are derived from unsanitized user input, an attacker can inject and execute arbitrary shell commands on the host system. This vulnerability arises due to improper input validation (CWE-20), where the gem fails to constrain or sanitize the operations passed to the underlying image processing tools. The `#apply` method is also internally invoked by Active Storage variants, a common Rails framework component for handling file uploads and transformations, thus extending the attack surface to applications using Active Storage with vulnerable versions of image_processing. Exploitation does not require authentication if the application processes user-supplied image transformation parameters directly, and no user interaction beyond submitting crafted input is necessary. The vulnerability was addressed in version 1.12.2 by enforcing stricter input validation and sanitization. No known public exploits have been reported, but the risk remains significant for applications that allow user-driven image processing without proper input constraints.
Potential Impact
For European organizations, this vulnerability poses a risk of remote code execution (RCE) on servers handling image uploads and transformations, potentially compromising confidentiality, integrity, and availability of affected systems. Attackers could leverage this flaw to execute arbitrary commands, leading to data breaches, system takeover, or lateral movement within networks. Organizations in sectors heavily reliant on web applications with image upload features—such as e-commerce, media, publishing, and government services—are particularly at risk. The impact is heightened in environments where Active Storage is used extensively, as this vulnerability indirectly affects those systems. Given the widespread use of Ruby on Rails in European startups and enterprises, especially in the UK, Germany, France, and the Netherlands, the threat could affect critical business operations and sensitive data. Although no exploits are currently known in the wild, the ease of exploitation and potential for severe damage necessitate prompt remediation.
Mitigation Recommendations
1. Upgrade the 'image_processing' gem to version 1.12.2 or later immediately to incorporate the official fix. 2. Audit all applications using Active Storage or direct calls to image_processing to identify usage of vulnerable versions. 3. Implement strict input validation and sanitization on any user-supplied parameters that influence image processing operations, allowing only a predefined whitelist of safe operations. 4. Employ runtime application self-protection (RASP) or web application firewalls (WAF) with custom rules to detect and block suspicious command injection patterns in image processing requests. 5. Conduct code reviews and penetration testing focused on image upload and transformation functionalities to uncover any residual injection vectors. 6. Monitor logs for unusual shell command executions or anomalies in image processing workflows. 7. Educate developers about secure handling of user inputs in image processing contexts to prevent similar vulnerabilities.
Affected Countries
United Kingdom, Germany, France, Netherlands, Sweden, Belgium, Italy
CVE-2022-24720: CWE-20: Improper Input Validation in janko image_processing
Description
image_processing is an image processing wrapper for libvips and ImageMagick/GraphicsMagick. Prior to version 1.12.2, using the `#apply` method from image_processing to apply a series of operations that are coming from unsanitized user input allows the attacker to execute shell commands. This method is called internally by Active Storage variants, so Active Storage is vulnerable as well. The vulnerability has been fixed in version 1.12.2 of image_processing. As a workaround, users who process based on user input should always sanitize the user input by allowing only a constrained set of operations.
AI-Powered Analysis
Technical Analysis
CVE-2022-24720 is a vulnerability in the 'image_processing' Ruby gem, a wrapper for image manipulation libraries libvips and ImageMagick/GraphicsMagick. The flaw exists in versions prior to 1.12.2 within the `#apply` method, which processes a series of image operations. When these operations are derived from unsanitized user input, an attacker can inject and execute arbitrary shell commands on the host system. This vulnerability arises due to improper input validation (CWE-20), where the gem fails to constrain or sanitize the operations passed to the underlying image processing tools. The `#apply` method is also internally invoked by Active Storage variants, a common Rails framework component for handling file uploads and transformations, thus extending the attack surface to applications using Active Storage with vulnerable versions of image_processing. Exploitation does not require authentication if the application processes user-supplied image transformation parameters directly, and no user interaction beyond submitting crafted input is necessary. The vulnerability was addressed in version 1.12.2 by enforcing stricter input validation and sanitization. No known public exploits have been reported, but the risk remains significant for applications that allow user-driven image processing without proper input constraints.
Potential Impact
For European organizations, this vulnerability poses a risk of remote code execution (RCE) on servers handling image uploads and transformations, potentially compromising confidentiality, integrity, and availability of affected systems. Attackers could leverage this flaw to execute arbitrary commands, leading to data breaches, system takeover, or lateral movement within networks. Organizations in sectors heavily reliant on web applications with image upload features—such as e-commerce, media, publishing, and government services—are particularly at risk. The impact is heightened in environments where Active Storage is used extensively, as this vulnerability indirectly affects those systems. Given the widespread use of Ruby on Rails in European startups and enterprises, especially in the UK, Germany, France, and the Netherlands, the threat could affect critical business operations and sensitive data. Although no exploits are currently known in the wild, the ease of exploitation and potential for severe damage necessitate prompt remediation.
Mitigation Recommendations
1. Upgrade the 'image_processing' gem to version 1.12.2 or later immediately to incorporate the official fix. 2. Audit all applications using Active Storage or direct calls to image_processing to identify usage of vulnerable versions. 3. Implement strict input validation and sanitization on any user-supplied parameters that influence image processing operations, allowing only a predefined whitelist of safe operations. 4. Employ runtime application self-protection (RASP) or web application firewalls (WAF) with custom rules to detect and block suspicious command injection patterns in image processing requests. 5. Conduct code reviews and penetration testing focused on image upload and transformation functionalities to uncover any residual injection vectors. 6. Monitor logs for unusual shell command executions or anomalies in image processing workflows. 7. Educate developers about secure handling of user inputs in image processing contexts to prevent similar vulnerabilities.
Affected Countries
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2022-02-10T00:00:00.000Z
- Cisa Enriched
- true
Threat ID: 682d9848c4522896dcbf62c5
Added to database: 5/21/2025, 9:09:28 AM
Last enriched: 6/22/2025, 3:06:19 AM
Last updated: 2/7/2026, 2:41:09 AM
Views: 36
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