CVE-2026-93751: Improper Handling of Unicode Encoding in garycourt uri-js
CVE-2026-93751 is a vulnerability in the uri-js library (versions up to 4.4.1) where improper UTF-8 decoding in the pctDecChars() function allows invalid and overlong percent-encoded sequences to be decoded into ASCII metacharacters. This flaw can enable attackers to craft payloads that bypass platform decoder validation, potentially injecting path traversal or CRLF sequences that downstream consumers may process without proper filtering.
AI Analysis
Technical Summary
The uri-js library through version 4.4.1 contains an improper UTF-8 decoding vulnerability in the pctDecChars() function. This vulnerability arises because the function decodes invalid and overlong percent-encoded sequences into ASCII metacharacters. Attackers can exploit this by crafting percent-encoded payloads that bypass platform decoder validation mechanisms, enabling injection of path traversal or CRLF sequences. These injected sequences may be processed by downstream consumers without adequate filtering, potentially leading to security issues such as unauthorized file access or HTTP response splitting.
Potential Impact
The vulnerability allows attackers to bypass platform decoder validation by using malformed percent-encoded sequences, which can lead to injection of path traversal or CRLF sequences. This may result in unauthorized access to files or manipulation of HTTP responses by downstream consumers that do not properly filter these inputs. The CVSS 4.0 score of 6.9 indicates a medium severity impact with network attack vector, low attack complexity, no privileges or user interaction required, and limited confidentiality and integrity impact.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, users should consider implementing input validation and filtering on percent-encoded sequences at application boundaries to mitigate potential injection of malicious sequences.
CVE-2026-93751: Improper Handling of Unicode Encoding in garycourt uri-js
Description
CVE-2026-93751 is a vulnerability in the uri-js library (versions up to 4.4.1) where improper UTF-8 decoding in the pctDecChars() function allows invalid and overlong percent-encoded sequences to be decoded into ASCII metacharacters. This flaw can enable attackers to craft payloads that bypass platform decoder validation, potentially injecting path traversal or CRLF sequences that downstream consumers may process without proper filtering.
CVSS v4.0
Score 6.9medium
Affected software
garycourt
uri-js
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The uri-js library through version 4.4.1 contains an improper UTF-8 decoding vulnerability in the pctDecChars() function. This vulnerability arises because the function decodes invalid and overlong percent-encoded sequences into ASCII metacharacters. Attackers can exploit this by crafting percent-encoded payloads that bypass platform decoder validation mechanisms, enabling injection of path traversal or CRLF sequences. These injected sequences may be processed by downstream consumers without adequate filtering, potentially leading to security issues such as unauthorized file access or HTTP response splitting.
Potential Impact
The vulnerability allows attackers to bypass platform decoder validation by using malformed percent-encoded sequences, which can lead to injection of path traversal or CRLF sequences. This may result in unauthorized access to files or manipulation of HTTP responses by downstream consumers that do not properly filter these inputs. The CVSS 4.0 score of 6.9 indicates a medium severity impact with network attack vector, low attack complexity, no privileges or user interaction required, and limited confidentiality and integrity impact.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, users should consider implementing input validation and filtering on percent-encoded sequences at application boundaries to mitigate potential injection of malicious sequences.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulnCheck
- Date Reserved
- 2026-09-18T16:30:18.137Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6aad7cae55bf5e2cf55a40c0
Added to database: 09/18/2026, 18:02:22 UTC
Last enriched: 09/18/2026, 18:17:00 UTC
Last updated: 09/18/2026, 18:57:50 UTC
Views: 6
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