CVE-2025-30534: Cross-Site Request Forgery (CSRF) in captcha.soft Image Captcha
Cross-Site Request Forgery (CSRF) vulnerability in captcha.soft Image Captcha image-captcha allows Cross Site Request Forgery.This issue affects Image Captcha: from n/a through <= 1.2.
AI Analysis
Technical Summary
CVE-2025-30534 identifies a Cross-Site Request Forgery (CSRF) vulnerability in the Image Captcha product developed by captcha.soft, affecting all versions up to and including 1.2. CSRF vulnerabilities occur when an attacker tricks an authenticated user into submitting a request that the user did not intend, exploiting the trust a web application has in the user's browser. In this case, the Image Captcha component lacks proper CSRF protections, such as anti-CSRF tokens or origin validation, allowing attackers to craft malicious web pages that cause users to unknowingly perform actions on vulnerable sites using the captcha.soft Image Captcha. This can lead to unauthorized operations being executed, potentially bypassing captcha verification or manipulating application state. The vulnerability was published on March 24, 2025, and no CVSS score or patches are currently available. No known exploits have been reported in the wild, but the ease of exploitation is moderate since it requires the victim to visit a malicious site while authenticated. The vulnerability affects the confidentiality, integrity, and availability of affected applications by enabling unauthorized requests. Given the widespread use of captcha solutions in web applications globally, this vulnerability poses a risk to many organizations relying on captcha.soft's Image Captcha for bot mitigation and user verification.
Potential Impact
The primary impact of this CSRF vulnerability is the potential for attackers to perform unauthorized actions on behalf of authenticated users without their consent. This can lead to compromised application integrity, where attackers might bypass captcha protections or manipulate user sessions and application data. The confidentiality of user data could be indirectly affected if unauthorized actions expose sensitive information. Availability might also be impacted if attackers use the vulnerability to disrupt normal application workflows or flood the system with unwanted requests. Organizations relying on captcha.soft Image Captcha for security controls may see reduced effectiveness of their bot mitigation strategies, increasing the risk of automated abuse, spam, or fraud. The lack of patches and public exploits suggests the threat is currently theoretical but could become critical if weaponized. The vulnerability could also damage user trust and compliance posture if exploited in sensitive environments.
Mitigation Recommendations
To mitigate this CSRF vulnerability, organizations should implement robust anti-CSRF protections immediately. This includes adding unique, unpredictable CSRF tokens to all state-changing requests involving the Image Captcha component and validating these tokens server-side. Additionally, verifying the HTTP Referer or Origin headers can help ensure requests originate from trusted sources. Web application firewalls (WAFs) can be configured to detect and block suspicious cross-site requests targeting the vulnerable endpoints. Organizations should monitor for updates or patches from captcha.soft and apply them promptly once available. In the interim, consider restricting access to the vulnerable captcha component or replacing it with alternative captcha solutions that have proven CSRF protections. Educating users about the risks of visiting untrusted websites while authenticated can also reduce exploitation likelihood. Finally, conduct thorough security testing and code reviews to identify and remediate similar CSRF weaknesses in other components.
Affected Countries
United States, Germany, United Kingdom, France, India, Japan, South Korea, Canada, Australia, Brazil
CVE-2025-30534: Cross-Site Request Forgery (CSRF) in captcha.soft Image Captcha
Description
Cross-Site Request Forgery (CSRF) vulnerability in captcha.soft Image Captcha image-captcha allows Cross Site Request Forgery.This issue affects Image Captcha: from n/a through <= 1.2.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-30534 identifies a Cross-Site Request Forgery (CSRF) vulnerability in the Image Captcha product developed by captcha.soft, affecting all versions up to and including 1.2. CSRF vulnerabilities occur when an attacker tricks an authenticated user into submitting a request that the user did not intend, exploiting the trust a web application has in the user's browser. In this case, the Image Captcha component lacks proper CSRF protections, such as anti-CSRF tokens or origin validation, allowing attackers to craft malicious web pages that cause users to unknowingly perform actions on vulnerable sites using the captcha.soft Image Captcha. This can lead to unauthorized operations being executed, potentially bypassing captcha verification or manipulating application state. The vulnerability was published on March 24, 2025, and no CVSS score or patches are currently available. No known exploits have been reported in the wild, but the ease of exploitation is moderate since it requires the victim to visit a malicious site while authenticated. The vulnerability affects the confidentiality, integrity, and availability of affected applications by enabling unauthorized requests. Given the widespread use of captcha solutions in web applications globally, this vulnerability poses a risk to many organizations relying on captcha.soft's Image Captcha for bot mitigation and user verification.
Potential Impact
The primary impact of this CSRF vulnerability is the potential for attackers to perform unauthorized actions on behalf of authenticated users without their consent. This can lead to compromised application integrity, where attackers might bypass captcha protections or manipulate user sessions and application data. The confidentiality of user data could be indirectly affected if unauthorized actions expose sensitive information. Availability might also be impacted if attackers use the vulnerability to disrupt normal application workflows or flood the system with unwanted requests. Organizations relying on captcha.soft Image Captcha for security controls may see reduced effectiveness of their bot mitigation strategies, increasing the risk of automated abuse, spam, or fraud. The lack of patches and public exploits suggests the threat is currently theoretical but could become critical if weaponized. The vulnerability could also damage user trust and compliance posture if exploited in sensitive environments.
Mitigation Recommendations
To mitigate this CSRF vulnerability, organizations should implement robust anti-CSRF protections immediately. This includes adding unique, unpredictable CSRF tokens to all state-changing requests involving the Image Captcha component and validating these tokens server-side. Additionally, verifying the HTTP Referer or Origin headers can help ensure requests originate from trusted sources. Web application firewalls (WAFs) can be configured to detect and block suspicious cross-site requests targeting the vulnerable endpoints. Organizations should monitor for updates or patches from captcha.soft and apply them promptly once available. In the interim, consider restricting access to the vulnerable captcha component or replacing it with alternative captcha solutions that have proven CSRF protections. Educating users about the risks of visiting untrusted websites while authenticated can also reduce exploitation likelihood. Finally, conduct thorough security testing and code reviews to identify and remediate similar CSRF weaknesses in other components.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- Patchstack
- Date Reserved
- 2025-03-24T12:59:40.515Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 69cd72f4e6bfc5ba1deefcea
Added to database: 4/1/2026, 7:33:08 PM
Last enriched: 4/1/2026, 11:50:00 PM
Last updated: 4/4/2026, 8:16:27 AM
Views: 6
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