CVE-2026-1116: CWE-79 Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in parisneo parisneo/lollms
A Cross-site Scripting (XSS) vulnerability was identified in the `from_dict` method of the `AppLollmsMessage` class in parisneo/lollms prior to version 2.2.0. The vulnerability arises from the lack of sanitization or HTML encoding of the `content` field when deserializing user-provided data. This allows an attacker to inject malicious HTML or JavaScript payloads, which can be executed in the context of another user's browser. Exploitation of this vulnerability can lead to account takeover, session hijacking, or wormable attacks.
AI Analysis
Technical Summary
The vulnerability CVE-2026-1116 in parisneo/lollms is a Cross-site Scripting (XSS) issue caused by the lack of sanitization or HTML encoding of the content field in the from_dict method of the AppLollmsMessage class. This allows injection of malicious HTML or JavaScript payloads during deserialization of user-provided data. The CVSS 3.0 score is 8.2, indicating high severity, with network attack vector, low attack complexity, no privileges required, user interaction required, and scope changed. The impact includes potential account takeover and session hijacking. No patch or official remediation level is currently documented, and no known exploits have been observed in the wild.
Potential Impact
Successful exploitation can lead to execution of arbitrary scripts in the context of other users' browsers, enabling account takeover, session hijacking, or propagation of wormable attacks. The vulnerability affects confidentiality and integrity with high impact on confidentiality and low impact on integrity. Availability is not impacted.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, users should exercise caution when handling untrusted input in the affected component. Avoid deserializing untrusted data or implement manual sanitization as a temporary mitigation.
CVE-2026-1116: CWE-79 Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in parisneo parisneo/lollms
Description
A Cross-site Scripting (XSS) vulnerability was identified in the `from_dict` method of the `AppLollmsMessage` class in parisneo/lollms prior to version 2.2.0. The vulnerability arises from the lack of sanitization or HTML encoding of the `content` field when deserializing user-provided data. This allows an attacker to inject malicious HTML or JavaScript payloads, which can be executed in the context of another user's browser. Exploitation of this vulnerability can lead to account takeover, session hijacking, or wormable attacks.
CVSS v3.0
Score 8.2high
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability CVE-2026-1116 in parisneo/lollms is a Cross-site Scripting (XSS) issue caused by the lack of sanitization or HTML encoding of the content field in the from_dict method of the AppLollmsMessage class. This allows injection of malicious HTML or JavaScript payloads during deserialization of user-provided data. The CVSS 3.0 score is 8.2, indicating high severity, with network attack vector, low attack complexity, no privileges required, user interaction required, and scope changed. The impact includes potential account takeover and session hijacking. No patch or official remediation level is currently documented, and no known exploits have been observed in the wild.
Potential Impact
Successful exploitation can lead to execution of arbitrary scripts in the context of other users' browsers, enabling account takeover, session hijacking, or propagation of wormable attacks. The vulnerability affects confidentiality and integrity with high impact on confidentiality and low impact on integrity. Availability is not impacted.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, users should exercise caution when handling untrusted input in the affected component. Avoid deserializing untrusted data or implement manual sanitization as a temporary mitigation.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- @huntr_ai
- Date Reserved
- 2026-01-17T17:52:55.574Z
- Cvss Version
- 3.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 69db079a82d89c981fa08be2
Added to database: 4/12/2026, 2:46:50 AM
Last enriched: 4/19/2026, 6:20:03 AM
Last updated: 5/27/2026, 7:53:40 AM
Views: 140
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