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Vulnerabilities

Vulnerability · CVE-2026-46526

Local Deep Research is an AI-powered research assistant for deep, iterative research.

Published May 28, 2026 · catalog updated Jun 17, 2026 · Local Deep Research is

Check if you run it

No confirmed exploitation is on record for CVE-2026-46526. EPSS is 0.41%. Act only if a listed version of Local Deep Research is is installed.

Gaps on this record

  • The stored product name is a package slug. The name on this page is taken from the title (Local Deep Research is).
  • No version range is stored. A customer cannot check an installed version against this record.
  • No vendor fix or required action is stored. Compare the linked advisory before you change production.
Severity
Medium5.0
Known exploitation
Not in CISA/VulnCheck KEV
EPSS
0.41%
Remediation
Advisory link
Affected products
See sources for product scope

Local Deep Research is an AI-powered research assistant for deep, iterative research. Prior to 1.6.10, the URL checking logic in local-deep-research has a logical flaw that could be bypassed by attackers, leading to SSRF attacks. The current project uses validate_url to validate the input URL. The main logic is to perform security checks on the host portion of the URL extracted by urlparse to prevent SSRF attacks. However, there are indeed differences in parsing between urlparse and the library that actually sends the request. For example, in safe_get, validate_url is first used to perform an SSRF check, and then requests.get is used to send the actual request. This vulnerability is fixed in 1.6.10.

No affected version ranges are stored yet. Use the vendor advisory before you decide this record does not apply.

How to fix CVE-2026-46526

What to do

Three questions, each answered from this record only. Confirm the vendor advisory before you patch.

Should you patch?

No confirmed exploitation is on record for CVE-2026-46526. EPSS is 0.41%. Act only if a listed version of Local Deep Research is is installed.

Which versions are affected?

Affected version ranges are not on this record. Compare the installed version with the linked vendor advisory before you change production.

What should an analyst verify?

CWE-918: Server-Side Request Forgery (SSRF). EPSS 0.41%. There is no CISA KEV listing. No Exploit-DB or Metasploit reference is linked. Use the source links for the original advisory.

Code

The project this record applies to. Exploit listings stay in References.

Timeline

Detection, updates, and resolution for this record.

  1. May 28, 2026 · NIST NVD

    Detected

    Local Deep Research is an AI-powered research assistant for deep, iterative research. Prior to 1.6.10, the URL checking logic in local-deep-research has a logical flaw that could be bypassed by attackers, leading to SSRF attacks. The current project uses validate_url to validate the input URL. The main logic is to perform security checks on the host portion of the URL extracted by urlparse to prev

  2. Jun 17, 2026 · NIST NVD

    Updated

    Local Deep Research is an AI-powered research assistant for deep, iterative research. Prior to 1.6.10, the URL checking logic in local-deep-research has a logical flaw that could be bypassed by attackers, leading to SSRF attacks. The current project uses validate_url to validate the input URL. The main logic is to perform security checks on the host portion of the URL extracted by urlparse to prev

Sources

  • CVE.orgVulnerability recordCVE-2026-46526

    Official CVE identifier

    cve.org
  • FIRST EPSSExploitation probabilityCVE-2026-46526

    30-day exploitation probability 0.4%

    first.org
  • NIST NVDVulnerability recordCVE-2026-46526

    Local Deep Research is an AI-powered research assistant for deep, iterative research. Prior to 1.6.10, the URL checking logic in local-deep-research has a logical flaw that could be bypassed by attackers, leading to SSRF attacks. The current project uses validate_url to validate

    nvd.nist.gov

References

Freshness

Last verified in this catalog Oct 18, 2026. Significant claims (KEV, EPSS, CVSS, affected ranges) come from the source rows above — open the original publisher for the authoritative advisory.