CVE-2025-45778 in Language Sloth Web Application
Summary
by MITRE • 08/01/2025
A stored cross-site scripting (XSS) vulnerability in The Language Sloth Web Application v1.0 allows attackers to execute arbitrary web scripts or HTML via injecting a crafted payload into the Description text field.
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Analysis
by VulDB Data Team • 08/05/2025
The vulnerability identified as CVE-2025-45778 represents a critical stored cross-site scripting flaw within The Language Sloth Web Application version 1.0. This type of vulnerability falls under the Common Weakness Enumeration category CWE-79 which specifically addresses improper neutralization of input during web page generation. The flaw exists in the application's handling of user input within the Description text field, where malicious payloads are not properly sanitized or escaped before being stored and subsequently rendered to other users. The vulnerability allows an attacker to inject malicious scripts that persist in the application's database and execute whenever affected users view the compromised content.
The technical exploitation of this vulnerability occurs through the manipulation of the Description field during user content submission. When an attacker crafts a malicious payload containing JavaScript code or HTML elements and submits it through this field, the application fails to implement adequate input validation or output encoding mechanisms. The stored payload then becomes part of the application's data store and executes in the context of other users' browsers when they access pages containing the compromised description. This creates a persistent threat vector where malicious code can affect multiple users over time without requiring repeated exploitation attempts.
The operational impact of CVE-2025-45778 extends beyond simple script execution to potentially enable more sophisticated attacks within the application's security context. Attackers could leverage this vulnerability to steal session cookies, perform unauthorized actions on behalf of victims, redirect users to malicious sites, or even establish persistent backdoors within the application environment. The stored nature of the vulnerability means that the malicious code remains active until explicitly removed from the database, providing attackers with extended periods of access and potential for data exfiltration. This vulnerability particularly affects web applications that rely heavily on user-generated content and fail to implement comprehensive input sanitization measures.
Mitigation strategies for this vulnerability should focus on implementing robust input validation and output encoding mechanisms throughout the application's data flow. The primary defense involves sanitizing all user input through proper escaping techniques before storage and rendering, specifically addressing the Description field and similar text input areas. Organizations should implement Content Security Policy headers to limit script execution and establish proper input validation rules that reject or sanitize potentially dangerous characters and script tags. Additionally, the application should employ parameterized queries and regular security testing including automated scanning and manual penetration testing to identify similar vulnerabilities. This vulnerability aligns with ATT&CK technique T1566 which covers social engineering tactics through malicious payloads, and represents a fundamental failure in web application security practices that requires immediate remediation to prevent exploitation by threat actors.