CVE-2025-52788: CWE-79 Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in Russell Jamieson CaptionPix
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in Russell Jamieson CaptionPix allows Reflected XSS. This issue affects CaptionPix: from n/a through 1.8.
AI Analysis
Technical Summary
CVE-2025-52788 is a high-severity reflected Cross-site Scripting (XSS) vulnerability affecting the Russell Jamieson CaptionPix software, specifically versions up to 1.8. The vulnerability arises due to improper neutralization of user-supplied input during web page generation, classified under CWE-79. This flaw allows an attacker to inject malicious scripts into web pages viewed by other users. Because it is a reflected XSS, the malicious payload is typically delivered via a crafted URL or request that is immediately reflected back in the server's response without proper sanitization or encoding. The CVSS 3.1 base score of 7.1 indicates a high impact with the vector AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:L, meaning the attack can be launched remotely over the network without privileges, requires low attack complexity, no privileges, but does require user interaction (clicking a malicious link). The scope is changed (S:C), indicating the vulnerability affects resources beyond the vulnerable component, and the impact is low on confidentiality, integrity, and availability but still present on all three. No known exploits are currently reported in the wild, and no patches have been linked yet. The vulnerability could be leveraged to steal session cookies, perform actions on behalf of users, or redirect users to malicious sites, potentially leading to further compromise or data leakage.
Potential Impact
For European organizations using CaptionPix, this vulnerability poses a significant risk to web application security and user trust. Exploitation could lead to unauthorized access to user sessions, data theft, or manipulation of displayed content, which may result in reputational damage, regulatory non-compliance (e.g., GDPR violations due to data leakage), and operational disruption. Since CaptionPix is a captioning or media-related tool, organizations in media, education, or accessibility services sectors might be particularly impacted. The reflected XSS could be used as an initial vector for phishing or social engineering attacks targeting employees or customers. Given the scope change in the vulnerability, attackers might escalate the impact beyond the immediate application context, potentially affecting integrated systems or services. The requirement for user interaction means that social engineering or phishing campaigns could be used to exploit this vulnerability, increasing the risk to end users and organizations.
Mitigation Recommendations
1. Immediate mitigation should include implementing strict input validation and output encoding on all user-supplied data reflected in web pages, especially in URL parameters and form inputs. 2. Employ Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts and reduce the impact of XSS attacks. 3. Use security-focused HTTP headers such as X-XSS-Protection and HttpOnly flags on cookies to mitigate script-based cookie theft. 4. Educate users and staff about the risks of clicking on suspicious links to reduce successful exploitation via social engineering. 5. Monitor web traffic and logs for unusual or suspicious requests that may indicate attempted exploitation. 6. Since no patch is currently linked, maintain close communication with the vendor Russell Jamieson for updates and apply patches promptly once available. 7. Consider deploying Web Application Firewalls (WAFs) with rules to detect and block reflected XSS attack patterns targeting CaptionPix. 8. Review and restrict permissions and session lifetimes to limit the window of opportunity for attackers.
Affected Countries
United Kingdom, Germany, France, Netherlands, Sweden, Italy, Spain
CVE-2025-52788: CWE-79 Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in Russell Jamieson CaptionPix
Description
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in Russell Jamieson CaptionPix allows Reflected XSS. This issue affects CaptionPix: from n/a through 1.8.
AI-Powered Analysis
Technical Analysis
CVE-2025-52788 is a high-severity reflected Cross-site Scripting (XSS) vulnerability affecting the Russell Jamieson CaptionPix software, specifically versions up to 1.8. The vulnerability arises due to improper neutralization of user-supplied input during web page generation, classified under CWE-79. This flaw allows an attacker to inject malicious scripts into web pages viewed by other users. Because it is a reflected XSS, the malicious payload is typically delivered via a crafted URL or request that is immediately reflected back in the server's response without proper sanitization or encoding. The CVSS 3.1 base score of 7.1 indicates a high impact with the vector AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:L, meaning the attack can be launched remotely over the network without privileges, requires low attack complexity, no privileges, but does require user interaction (clicking a malicious link). The scope is changed (S:C), indicating the vulnerability affects resources beyond the vulnerable component, and the impact is low on confidentiality, integrity, and availability but still present on all three. No known exploits are currently reported in the wild, and no patches have been linked yet. The vulnerability could be leveraged to steal session cookies, perform actions on behalf of users, or redirect users to malicious sites, potentially leading to further compromise or data leakage.
Potential Impact
For European organizations using CaptionPix, this vulnerability poses a significant risk to web application security and user trust. Exploitation could lead to unauthorized access to user sessions, data theft, or manipulation of displayed content, which may result in reputational damage, regulatory non-compliance (e.g., GDPR violations due to data leakage), and operational disruption. Since CaptionPix is a captioning or media-related tool, organizations in media, education, or accessibility services sectors might be particularly impacted. The reflected XSS could be used as an initial vector for phishing or social engineering attacks targeting employees or customers. Given the scope change in the vulnerability, attackers might escalate the impact beyond the immediate application context, potentially affecting integrated systems or services. The requirement for user interaction means that social engineering or phishing campaigns could be used to exploit this vulnerability, increasing the risk to end users and organizations.
Mitigation Recommendations
1. Immediate mitigation should include implementing strict input validation and output encoding on all user-supplied data reflected in web pages, especially in URL parameters and form inputs. 2. Employ Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts and reduce the impact of XSS attacks. 3. Use security-focused HTTP headers such as X-XSS-Protection and HttpOnly flags on cookies to mitigate script-based cookie theft. 4. Educate users and staff about the risks of clicking on suspicious links to reduce successful exploitation via social engineering. 5. Monitor web traffic and logs for unusual or suspicious requests that may indicate attempted exploitation. 6. Since no patch is currently linked, maintain close communication with the vendor Russell Jamieson for updates and apply patches promptly once available. 7. Consider deploying Web Application Firewalls (WAFs) with rules to detect and block reflected XSS attack patterns targeting CaptionPix. 8. Review and restrict permissions and session lifetimes to limit the window of opportunity for attackers.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- Patchstack
- Date Reserved
- 2025-06-19T10:03:22.155Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 689dbee4ad5a09ad0059e661
Added to database: 8/14/2025, 10:48:04 AM
Last enriched: 8/14/2025, 11:33:06 AM
Last updated: 8/21/2025, 12:35:15 AM
Views: 4
Actions
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