JeecgBoot up to 3.9.5 Category Import importExcel improper authorization

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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4.2$0-$5k0.92+

Summaryinfo

A vulnerability was found in JeecgBoot up to 3.9.5. It has been classified as problematic. This affects the function importExcel of the component Category Import. The manipulation leads to improper authorization. This vulnerability is referenced as CVE-2026-108646. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability was found in JeecgBoot up to 3.9.5 and classified as problematic. This issue affects the function importExcel of the component Category Import. The manipulation with an unknown input leads to a improper authorization vulnerability. Using CWE to declare the problem leads to CWE-285. The product does not perform or incorrectly performs an authorization check when an actor attempts to access a resource or perform an action. Impacted is integrity. The summary by CVE is:

JeecgBoot through 3.9.5 contains a missing authorization vulnerability in the SysCategoryController importExcel handler that allows any authenticated user to import category dictionary entries. Low-privileged attackers can upload crafted Excel workbooks to bulk insert arbitrary nodes into the system-wide sys_category dictionary, including under existing parent nodes.

It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-108646 since 10/10/2026. The exploitation is known to be easy. The attack may be initiated remotely. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/11/2026). The attack technique deployed by this issue is T1548.002 according to MITRE ATT&CK.

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.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 4.3
VulDB Meta Temp Score: 4.2

VulDB Base Score: 4.3
VulDB Temp Score: 4.2
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 4.3
CNA Vector (VulnCheck): 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Improper authorization
CWE: CWE-285 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

10/10/2026 CVE reserved
10/10/2026 +0 days VulDB entry created
10/11/2026 +0 days Advisory disclosed
10/11/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2026-108646 (🔒)
GCVE (CVE): GCVE-0-2026-108646
GCVE (VulDB): GCVE-100-416435

Entryinfo

Created: 10/11/2026 00:45
Changes: 10/11/2026 00:45 (74)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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