Server-Side Request Forgery in JeecgBoot Chat Attachment Parser

A vulnerability was identified in JeecgBoot up to 3.9.2. The affected element is an unknown function of the file /airag/chat/send of the component Anonymous Chat Attachment Parser. The manipulation leads to server-side request forgery. The attack can be initiated remotely. The exploit is publicly available and might be used. A fix is planned for the upcoming release.

Casky was already ahead

This CVE exploits attack patterns that Casky's 331matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

JeecgBoot versions up to 3.9.2 contain a critical server-side request forgery (SSRF) vulnerability in the anonymous chat attachment parser endpoint (/airag/chat/send). This vulnerability allows unauthenticated attackers to manipulate the application into making arbitrary HTTP requests from the server's perspective, potentially exposing internal resources, cloud metadata services, or facilitating lateral movement within network infrastructure. The vulnerability is particularly concerning because it affects the chat functionality, a commonly exposed feature, and requires no authentication—making it accessible to any remote actor. Organizations running affected JeecgBoot instances should immediately assess their exposure and implement mitigations pending the patched release.

Casky's 331 mapped security skills leverage Claude's extended reasoning to detect the attack patterns underlying this SSRF vulnerability across both MITRE ATT&CK reconnaissance (TA0001) and initial access (TA0006) techniques. Practitioners using Casky would identify suspicious patterns including: anomalous outbound requests originating from application servers to internal IP ranges or cloud metadata endpoints (169.254.169.254, internal service ports), unusual URL parameters in /airag/chat/send requests containing file:// or http:// schemes, and timing correlations between external inputs and server-initiated connections. The platform's skill library would flag CWE-918 indicators such as unvalidated URL/URI inputs, missing hostname whitelisting, and inadequate URL scheme validation, helping security teams pinpoint exploitation attempts before they succeed in reconnaissance or lateral movement activities.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

331 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-19000.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

Run

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

MITRE ATT&CK Techniques

TA0001 TA0006

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