External risk intelligence

HKUDS nanobot WebFetchTool Server-Side Request Forgery Vulnerability

CVE advisorySeverity: CRITICAL (CVSS 9.2)

CVE-2026-92576

The vulnerability resides in a WebFetchTool component designed to perform network requests. Because such tools are commonly integrated into public-facing web applications or automated services to fetch external content, the component is likely to be reachable via inputs processed from internet-facing interfaces.

Server-Side Request Forgery

Halo Surface Signal: 4 out of 5 — likely to be public-facing.

External exposure likelihood

Horizon Alert

Summary of the vulnerability and why it matters

This advisory addresses a server-side request forgery vulnerability found in the HKUDS nanobot's WebFetchTool. This flaw allows unauthorized access to sensitive cloud metadata and internal services by tricking the bot into fetching specific addresses. The primary concern is confirming if this technology is in use and if it is exposed, which would require further investigation to understand the potential impact.

An issue exists where the bot can be tricked into fetching internal data.
Leadership should remember this to ensure potential exposure is assessed.
Confirm relevance and exposure for this technology.

Attack Path

How an attacker could exploit the issue

Attackers can exploit this vulnerability by sending specially crafted messages to the nanobot, instructing it to request data from internal network locations or cloud services. This bypasses security checks designed to prevent such requests, allowing the attacker to potentially access sensitive information like credentials or internal service details.

No authentication or special access needed.
Triggered by sending malicious fetch requests.
Risk of credential and data exposure.

Live Threat

Current exploitation, exposure, and threat context

This vulnerability could allow an attacker to trick the nanobot into accessing internal network resources. When the bot is instructed to fetch specific URLs, it may fail to properly validate them, potentially leading to requests being sent to sensitive internal endpoints.

Internal service data could be exposed.
Requests may be made to internal endpoints.
Sensitive information could be disclosed.

Operational Fix

Recommended remediation, mitigation, and detection steps

The HKUDS nanobot's WebFetchTool component is susceptible to server-side request forgery, allowing unauthorized access to internal resources and cloud metadata. Application owners and platform teams should prioritize identifying all instances of the affected technology. The first step involves confirming deployment scope, assessing business criticality and external reachability, and then assigning ownership for remediation planning.

Own the issue: Application and platform teams.
Verify first: Confirm deployment and reachability.
Follow-up action: Plan risk-based remediation.

Supplementary metadata

CVSS vector

Validate whether this threat affects your internet-facing exposure.

Halo Threat Intelligence helps prioritize remediation with Halo Surface Signal and H/A/L/O context. Start exposure validation with a free external attack surface trial.

Free EASM Trial See How Signal Works

Frequently asked questions

What is the HKUDS nanobot software?

HKUDS nanobot is an automated service component often used to fetch and process external web content. It includes a specific tool called WebFetchTool, which manages these network requests. Users typically deploy it to integrate web-based data or automation into their applications.

What does CVE-2026-92576 mean?

This CVE identifies a Server-Side Request Forgery (SSRF) weakness (CWE-918). It occurs because the WebFetchTool component does not correctly restrict the addresses it is allowed to contact. Instead of only reaching out to the intended public web, the software can be manipulated to request data from private internal network locations or sensitive cloud metadata services.

How can an attacker trigger this vulnerability?

An attacker triggers this by sending a specially crafted message to the nanobot that directs it to fetch a specific, unauthorized URL. The vulnerability is present if the bot accepts these commands without validating that the requested destination is a legitimate external address. Standard, non-malicious fetch requests used for normal operations do not trigger this security flaw.

Is my environment at risk from this vulnerability?

If you run versions of HKUDS nanobot before 0.3.0, you are potentially at risk. According to Halo Surface Signal, this component is commonly integrated into public-facing web applications to fetch content, meaning it is likely reachable via inputs from the internet. You should care if your implementation processes user-supplied data to initiate these network fetches.

What should I do to respond to this issue?

Start by confirming where HKUDS nanobot is deployed within your infrastructure. Identify if any instances are reachable from the internet or handle untrusted input. Once you have mapped the scope and criticality of these instances, coordinate with your platform teams to plan a transition to version 0.3.0 or higher to ensure proper URL validation.

References

Written by Nicholas Merritt

Nicholas Merritt is VP of Security Solutions at Halo Security. With more than 25 years across application security, vulnerability prioritization, and offensive security, he helps teams translate threat data into practical exposure validation and remediation focus. He authors Halo Threat Intelligence CVE advisories using Halo Surface Signal and H/A/L/O context to prioritize internet-facing risk.