CVE-2022-4984 (GCVE-0-2022-4984)

Vulnerability from cvelistv5 – Published: 2025-11-13 19:37 – Updated: 2026-05-14 02:06
VLAI KEVIntel
Title
ZenTao Biz < 6.5, Max < 3.0, & Open Source Edition 16.5/16.5beta1 SQL Injection via user-login.html
Summary
ZenTao Biz < 6.5, ZenTao Max < 3.0, ZenTao Open Source Edition < 16.5, and ZenTao Open Source Edition < 16.5.beta1 contain an SQL injection vulnerability in the login functionality. The application does not properly validate the account parameter on /zentao/user-login.html before using it in a database query. A remote unauthenticated attacker can exploit this issue to execute crafted SQL expressions and retrieve sensitive information from the backend database, including user and application data. Exploitation evidence was observed by the Shadowserver Foundation on 2025-02-07 UTC.
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
  • CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
KEVIntel
Known Exploited Vulnerability - GCVE BCP-07 Compliant

Vulnerability ID: CVE-2022-4984

Status: Confirmed

Status Updated: 2026-01-24 00:00 UTC

Exploited: Yes


Timestamps
First Seen: 2026-01-24
Asserted: 2026-01-24

Scope
Notes: KEVIntel entry: ZenTao Biz < 6.5, Max < 3.0, & Open Source Edition 16.5/16.5beta1 SQL Injection via user-login.html | Affected: Qingdao Esoft Tianchuang Network Technology Co., Ltd. / ZenTao Biz, ZenTao Max, ZenTao Open Source Edition | CVSS: 8.7 (HIGH) | Used in malware: unknown | Not yet in CISA KEV: True

Evidence

Type: Public Report

Signal: Successful Exploitation

Confidence: 70%

Source: kevintel


Details
Feed KEVIntel (kevintel.com)
Title ZenTao Biz < 6.5, Max < 3.0, & Open Source Edition 16.5/16.5beta1 SQL Injection via user-login.html
Vendor Qingdao Esoft Tianchuang Network Technology Co., Ltd.
Product ZenTao Biz, ZenTao Max, ZenTao Open Source Edition
Added Date 2026-01-24T00:00:00.000Z
Cvss Score 8.7
Epss Score None
Cvss Severity HIGH
Epss Percentile None
Used In Malware unknown
Ahead Of Cisa Kev None
Not Yet In Cisa Kev True

References

Created: 2026-06-23 14:03 UTC | Updated: 2026-06-23 14:03 UTC
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.

Sightings

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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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