SQL Injection in Chanjet CRM HTTP Request Handler

A vulnerability was identified in Chanjet CRM 1.0. This affects an unknown part of the file /tools/jxf_dump_systable.php of the component HTTP GET Request Handler. Such manipulation of the argument gblOrgID leads to sql injection. The attack may be launched remotely. The exploit is publicly available and might be used. The vendor was contacted early about this disclosure but did not respond in any way.

Casky was already ahead

This CVE exploits attack patterns that Casky's 301matched 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

Chanjet CRM version 1.0 contains a critical SQL injection vulnerability in the /tools/jxf_dump_systable.php file, where unsanitized user input in the gblOrgID parameter is passed directly into SQL queries. This vulnerability allows unauthenticated attackers to execute arbitrary SQL commands remotely, potentially exposing sensitive customer relationship data, modifying business-critical records, or escalating privileges within the CRM system. Organizations using Chanjet CRM 1.0 are at immediate risk, particularly those handling customer data or relying on CRM integrity for business operations. The threat is elevated by the public availability of exploit code and the vendor's non-responsive disclosure posture, meaning threat actors have clear guidance for exploitation.

Casky.ai's 301 mapped security skills detect the attack patterns underlying this CVE by analyzing the MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance for Initial Access). Practitioners using Casky will identify detection opportunities across multiple skill categories: input validation bypass patterns (CWE-74), SQL query manipulation detection (CWE-89), HTTP parameter tampering indicators, and database query anomalies. Claude's extended reasoning enables the platform to correlate suspicious HTTP GET requests containing SQL metacharacters in the gblOrgID parameter, recognize schema enumeration attempts, and flag unusual database access patterns that indicate active exploitation. Security teams will surface findings showing parameter injection attempts, unexpected database connections from web application processes, and potential data exfiltration queries—enabling faster incident response and threat hunting before attackers achieve their objectives.

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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 →

301 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-11456.

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threat intelligence · low

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threat intelligence · low

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threat intelligence · low

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MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2026-11456

Casky has 301 skills that investigate the attack patterns behind CVE-2026-11456. Run one and get CVSS-scored findings in 3 minutes.

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