CVE-2026-76164 (GCVE-0-2026-76164)

Vulnerability from cvelistv5 – Published: 2026-08-19 08:53 – Updated: 2026-08-19 15:44
VLAI
Title
Authenticated Server-Side Request Forgery in AIL Framework Crawler Allows Access to Internal Network Resources
Summary
AIL Framework contains a server-side request forgery (SSRF) vulnerability in its crawler submission functionality. A low-privileged authenticated user with access to the crawler interface can submit an arbitrary URL for crawling without adequate validation of the destination host. The crawler can therefore be instructed to make direct HTTP(S) requests to addresses that should not be reachable by application users, including loopback addresses, RFC1918 private networks, link-local addresses, and cloud metadata services such as 169.254.169.254. Manual crawler tasks bypass the existing domain blacklist because they are assigned a non-zero priority, and ordinary IP literals are classified as web targets and fetched directly rather than through Tor or another proxy. Consequently, an attacker can use the AIL server as a network pivot to access services available from the server's network context. Responses generated by these requests, including captured HTML, screenshots, and HAR data, can subsequently be accessed through the crawler interface. This makes the SSRF non-blind and may allow an attacker to disclose sensitive internal application data, service information, or cloud instance metadata and credentials. The patch introduces validation that resolves crawler destinations and rejects URLs resolving to non-global IP addresses, addressing localhost, private-network, and link-local targets.
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-19 15:44 UTC
CWE
  • CWE-918 - Server-Side Request Forgery (SSRF)
References
Impacted products
Vendor Product Version CPE status
ail-project ail-framework Affected: 0 , < 7.0 (semver)
guessed Create a notification for this product.
Show details on NVD website

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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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