CVE-2025-55998: n/a
A cross-site scripting (XSS) vulnerability in Smart Search & Filter Shopify and BigCommerce apps allows a remote attacker to execute arbitrary JavaScript in the web browser of a user, by including a malicious payload into several filter parameter
AI Analysis
Technical Summary
CVE-2025-55998 is a high-severity cross-site scripting (XSS) vulnerability affecting the Smart Search & Filter applications used on Shopify and BigCommerce e-commerce platforms. This vulnerability arises due to insufficient input sanitization of filter parameters, allowing a remote attacker to inject and execute arbitrary JavaScript code within the web browser of users interacting with affected storefronts. The attack vector is remote and requires no privileges, but does require user interaction (e.g., visiting a crafted URL or interacting with a malicious filter). Successful exploitation can lead to the compromise of user session cookies, theft of sensitive information, manipulation of the web page content, or redirection to malicious sites. The vulnerability is classified under CWE-79, indicating improper neutralization of input during web page generation. The CVSS v3.1 base score is 8.1, reflecting high impact on confidentiality and integrity, with no impact on availability. The vulnerability affects multiple filter parameters, increasing the attack surface. No patches or fixes are currently listed, and no known exploits have been reported in the wild as of the publication date (September 8, 2025). Given the widespread use of Shopify and BigCommerce in online retail, this vulnerability poses a significant risk to e-commerce operations that rely on these apps for product filtering and search functionality.
Potential Impact
For European organizations, particularly those operating e-commerce stores on Shopify and BigCommerce platforms using the Smart Search & Filter apps, this vulnerability presents a substantial risk. Exploitation could lead to the compromise of customer data, including personal information and session tokens, potentially resulting in account takeover or fraudulent transactions. The integrity of the online storefront could be undermined by unauthorized script execution, damaging brand reputation and customer trust. Additionally, attackers could leverage this vulnerability to conduct phishing campaigns by injecting malicious content directly into trusted websites. Given the prominence of e-commerce in Europe and the reliance on these platforms by small and medium enterprises, the potential financial and reputational damage is significant. Regulatory implications under GDPR are also a concern, as data breaches involving personal data could lead to heavy fines and legal consequences.
Mitigation Recommendations
European organizations should immediately audit their use of Smart Search & Filter apps on Shopify and BigCommerce platforms to identify exposure. Until official patches are released, implement the following mitigations: 1) Employ Web Application Firewalls (WAFs) with custom rules to detect and block suspicious filter parameter inputs containing script tags or suspicious payloads. 2) Use Content Security Policy (CSP) headers to restrict the execution of inline scripts and limit the domains from which scripts can be loaded, reducing the impact of injected scripts. 3) Educate users and administrators about the risks of clicking on suspicious links or interacting with untrusted filter parameters. 4) Monitor web traffic and logs for unusual activity patterns indicative of exploitation attempts. 5) Engage with Shopify and BigCommerce support channels to track patch releases and apply updates promptly once available. 6) Consider temporarily disabling or replacing the vulnerable filtering functionality if feasible to reduce attack surface. 7) Conduct regular security assessments and penetration testing focusing on input validation and XSS vulnerabilities in e-commerce applications.
Affected Countries
United Kingdom, Germany, France, Netherlands, Italy, Spain, Sweden, Poland, Belgium, Ireland
CVE-2025-55998: n/a
Description
A cross-site scripting (XSS) vulnerability in Smart Search & Filter Shopify and BigCommerce apps allows a remote attacker to execute arbitrary JavaScript in the web browser of a user, by including a malicious payload into several filter parameter
AI-Powered Analysis
Technical Analysis
CVE-2025-55998 is a high-severity cross-site scripting (XSS) vulnerability affecting the Smart Search & Filter applications used on Shopify and BigCommerce e-commerce platforms. This vulnerability arises due to insufficient input sanitization of filter parameters, allowing a remote attacker to inject and execute arbitrary JavaScript code within the web browser of users interacting with affected storefronts. The attack vector is remote and requires no privileges, but does require user interaction (e.g., visiting a crafted URL or interacting with a malicious filter). Successful exploitation can lead to the compromise of user session cookies, theft of sensitive information, manipulation of the web page content, or redirection to malicious sites. The vulnerability is classified under CWE-79, indicating improper neutralization of input during web page generation. The CVSS v3.1 base score is 8.1, reflecting high impact on confidentiality and integrity, with no impact on availability. The vulnerability affects multiple filter parameters, increasing the attack surface. No patches or fixes are currently listed, and no known exploits have been reported in the wild as of the publication date (September 8, 2025). Given the widespread use of Shopify and BigCommerce in online retail, this vulnerability poses a significant risk to e-commerce operations that rely on these apps for product filtering and search functionality.
Potential Impact
For European organizations, particularly those operating e-commerce stores on Shopify and BigCommerce platforms using the Smart Search & Filter apps, this vulnerability presents a substantial risk. Exploitation could lead to the compromise of customer data, including personal information and session tokens, potentially resulting in account takeover or fraudulent transactions. The integrity of the online storefront could be undermined by unauthorized script execution, damaging brand reputation and customer trust. Additionally, attackers could leverage this vulnerability to conduct phishing campaigns by injecting malicious content directly into trusted websites. Given the prominence of e-commerce in Europe and the reliance on these platforms by small and medium enterprises, the potential financial and reputational damage is significant. Regulatory implications under GDPR are also a concern, as data breaches involving personal data could lead to heavy fines and legal consequences.
Mitigation Recommendations
European organizations should immediately audit their use of Smart Search & Filter apps on Shopify and BigCommerce platforms to identify exposure. Until official patches are released, implement the following mitigations: 1) Employ Web Application Firewalls (WAFs) with custom rules to detect and block suspicious filter parameter inputs containing script tags or suspicious payloads. 2) Use Content Security Policy (CSP) headers to restrict the execution of inline scripts and limit the domains from which scripts can be loaded, reducing the impact of injected scripts. 3) Educate users and administrators about the risks of clicking on suspicious links or interacting with untrusted filter parameters. 4) Monitor web traffic and logs for unusual activity patterns indicative of exploitation attempts. 5) Engage with Shopify and BigCommerce support channels to track patch releases and apply updates promptly once available. 6) Consider temporarily disabling or replacing the vulnerable filtering functionality if feasible to reduce attack surface. 7) Conduct regular security assessments and penetration testing focusing on input validation and XSS vulnerabilities in e-commerce applications.
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2025-08-16T00:00:00.000Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 68bef375d5a2966cfc808f10
Added to database: 9/8/2025, 3:17:09 PM
Last enriched: 9/30/2025, 12:17:31 AM
Last updated: 10/30/2025, 2:17:35 PM
Views: 63
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