CVE-2026-92576: Server-Side Request Forgery (SSRF) in HKUDS nanobot
HKUDS nanobot before 0.3.0 contains a server-side request forgery vulnerability in the WebFetchTool component where the _validate_url() function fails to block internal IP ranges and private addresses. Attackers can send messages instructing the bot to fetch cloud metadata endpoints, localhost services, and RFC 1918 addresses to extract IAM credentials and internal service data.
AI Analysis
Technical Summary
HKUDS nanobot versions prior to 0.3.0 contain an SSRF vulnerability in the WebFetchTool component. The vulnerability arises because the _validate_url() function fails to restrict requests to internal IP ranges and private addresses. Exploiting this, an attacker can coerce the bot into making unauthorized requests to internal network resources, including cloud metadata services and localhost endpoints, which may lead to disclosure of sensitive credentials and internal data.
Potential Impact
Successful exploitation can lead to unauthorized access to internal cloud metadata endpoints and local services, potentially exposing IAM credentials and sensitive internal service information. This can facilitate further attacks within the internal network or cloud environment. The CVSS 4.0 score of 9.2 reflects a critical severity with high impact on confidentiality and system control without requiring privileges or user interaction.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, restrict access to the vulnerable component and monitor for unusual requests that attempt to access internal IP ranges. Avoid exposing the WebFetchTool component to untrusted inputs. Follow vendor advisories for updates on patches or temporary mitigations.
CVE-2026-92576: Server-Side Request Forgery (SSRF) in HKUDS nanobot
Description
HKUDS nanobot before 0.3.0 contains a server-side request forgery vulnerability in the WebFetchTool component where the _validate_url() function fails to block internal IP ranges and private addresses. Attackers can send messages instructing the bot to fetch cloud metadata endpoints, localhost services, and RFC 1918 addresses to extract IAM credentials and internal service data.
CVSS v4.0
Score 9.2critical
Affected software
HKUDS
nanobot
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
HKUDS nanobot versions prior to 0.3.0 contain an SSRF vulnerability in the WebFetchTool component. The vulnerability arises because the _validate_url() function fails to restrict requests to internal IP ranges and private addresses. Exploiting this, an attacker can coerce the bot into making unauthorized requests to internal network resources, including cloud metadata services and localhost endpoints, which may lead to disclosure of sensitive credentials and internal data.
Potential Impact
Successful exploitation can lead to unauthorized access to internal cloud metadata endpoints and local services, potentially exposing IAM credentials and sensitive internal service information. This can facilitate further attacks within the internal network or cloud environment. The CVSS 4.0 score of 9.2 reflects a critical severity with high impact on confidentiality and system control without requiring privileges or user interaction.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, restrict access to the vulnerable component and monitor for unusual requests that attempt to access internal IP ranges. Avoid exposing the WebFetchTool component to untrusted inputs. Follow vendor advisories for updates on patches or temporary mitigations.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulnCheck
- Date Reserved
- 2026-09-16T13:47:20.116Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6aab120555bf5e2cf536881f
Added to database: 09/16/2026, 22:02:45 UTC
Last enriched: 09/16/2026, 23:12:32 UTC
Last updated: 09/17/2026, 03:26:13 UTC
Views: 24
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