Evidence used
- No CISA KEV confirmation is currently recorded.
- EPSS is 0.26% for the current model date.
BlackTreeCVE Intelligencexerrors · Yuxi-Know
Medium technical severity with no CISA KEV confirmation; remediate through the normal risk-based patch cycle unless local exposure raises the priority.
Medium technical severity with no CISA KEV confirmation; remediate through the normal risk-based patch cycle unless local exposure raises the priority.
Patch availableA vulnerability was detected in xerrors Yuxi-Know up to 0.4.0. This vulnerability affects the function OtherEmbedding.aencode of the file /src/models/embed.py. Performing manipulation of the argument health_url results in server-side request forgery. The attack can be initiated remotely. The exploit is now public and may be used. The patch is named 0ff771dc1933d5a6b78f804115e78a7d8625c3f3. To fix this issue, it is recommended to deploy a patch. The vendor responded with a vulnerability confirmation and a list of security measures they have established already (e.g. disabled URL parsing, disabled URL upload mode, removed URL-to-markdown conversion).
A vulnerability was detected in xerrors Yuxi-Know up to 0.4.0. This vulnerability affects the function OtherEmbedding.aencode of the file /src/models/embed.py. Performing manipulation of the argument health_url results in server-side request forgery. The attack can be initiated remotely. The exploit is now public and may be used. The patch is named 0ff771dc1933d5a6b78f804115e78a7d8625c3f3. To fix this issue, it is recommended to deploy a patch. The vendor responded with a vulnerability confirmation and a list of security measures they have established already (e.g. disabled URL parsing, disabled URL upload mode, removed URL-to-markdown conversion).
The server follows an attacker-influenced destination, allowing requests to systems or services the attacker cannot reach directly.
An attacker operating through a network path may attempt exploitation with elevated privileges. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
A vulnerability was detected in xerrors Yuxi-Know up to 0.4.0. This vulnerability affects the function OtherEmbedding.aencode of the file /src/models/embed.py. Performing manipulation of the argument health_url results in server-side request forgery. The attack can be initiated remotely. The exploit is now public and may be used. The patch is named 0ff771dc1933d5a6b78f804115e78a7d8625c3f3. To fix this issue, it is recommended to deploy a patch. The vendor responded with a vulnerability confirmation and a list of security measures they have established already (e.g. disabled URL parsing, disabled URL upload mode, removed URL-to-markdown conversion).
The server follows an attacker-influenced destination, allowing requests to systems or services the attacker cannot reach directly.
An attacker operating through a network path may attempt exploitation with elevated privileges. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
CVSS severity, EPSS forecast probability, public exploit material and CISA-confirmed exploitation are separate signals.
No CISA KEV match was present at the last successful refresh. This means no confirmation from that source, not proof of no exploitation.
No exploit-tagged reference or CISA SSVC proof-of-concept state is currently recorded. Research may still exist outside the structured feeds.
CWE-918: Server-Side Request Forgery (SSRF). The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination.
CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:PCommon Vulnerability Scoring System 4.0: the compact vector below is decoded into plain language.
Operational remediation based on structured source evidence.
Published 5 Dec 2025 · Last source change 8 Dec 2025, 17:14 UTC · CWE-918 · Server-Side Request Forgery (SSRF)
Core structured fields are present and their contributing authorities are shown above.