Chanjet CRM 1.0 HTTP GET Request jxf_dump_systable.php gblOrgID sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.6 | $0-$5k | 1.30 |
Summary
A vulnerability was found in Chanjet CRM 1.0. It has been rated as critical. This vulnerability affects unknown code of the file /tools/jxf_dump_systable.php of the component HTTP GET Request Handler. Performing a manipulation of the argument gblOrgID results in sql injection. This vulnerability is known as CVE-2026-11456. Remote exploitation of the attack is possible. Furthermore, an exploit is available. The vendor was contacted early about this disclosure but did not respond in any way.
Details
A vulnerability, which was classified as critical, was found in Chanjet CRM 1.0. This affects an unknown function of the file /tools/jxf_dump_systable.php of the component HTTP GET Request Handler. The manipulation of the argument gblOrgID with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. This is going to have an impact on confidentiality, integrity, and availability.
It is possible to read the advisory at gist.github.com. This vulnerability is uniquely identified as CVE-2026-11456. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details and a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
The exploit is shared for download at gist.github.com. It is declared as proof-of-concept. The vendor was contacted early about this disclosure but did not respond in any way. By approaching the search of inurl:tools/jxf_dump_systable.php it is possible to find vulnerable targets with Google Hacking.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 6.6
VulDB Base Score: 7.3
VulDB Temp Score: 6.6
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
Google Hack: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
06/06/2026 Advisory disclosed06/06/2026 VulDB entry created
06/06/2026 VulDB entry last update
Sources
Advisory: gist.github.comStatus: Not defined
CVE: CVE-2026-11456 (🔒)
GCVE (CVE): GCVE-0-2026-11456
GCVE (VulDB): GCVE-100-369075
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 06/06/2026 18:03Changes: 06/06/2026 18:03 (58)
Complete: 🔍
Submitter: jikdarren
Cache ID: 216::103
Submit
Accepted
- Submit #828375: Chanjet Chanjet CRM V1.0 SQL Injection (by jikdarren)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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