aiflowy up to 2.1.2 Datacenter Query DatacenterQuery.java getPageData sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.3 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in aiflowy up to 2.1.2. Affected is the function getPageData of the file DatacenterQuery.java of the component Datacenter Query. The manipulation leads to sql injection.
This vulnerability is listed as CVE-2026-52476. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability, which was classified as critical, has been found in aiflowy up to 2.1.2. This issue affects the function getPageData of the file DatacenterQuery.java of the component Datacenter Query. The manipulation with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to 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. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
SQL Injection vulnerability in aiflowy <= 2.1.2 allows a remote attacker to obtain sensitive information via the getPageData method in the DatacenterQuery.java file
The advisory is shared at github.com. The identification of this vulnerability is CVE-2026-52476 since 06/08/2026. The exploitation is known to be easy. The attack may be initiated remotely. Technical details are known, but no exploit is available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 07/22/2026). MITRE ATT&CK project uses the attack technique T1505 for this issue.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.3VulDB Meta Temp Score: 6.3
VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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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: 🔒
Status: Not defined
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
06/08/2026 CVE reserved07/22/2026 Advisory disclosed
07/22/2026 VulDB entry created
07/22/2026 VulDB entry last update
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2026-52476 (🔒)
GCVE (CVE): GCVE-0-2026-52476
GCVE (VulDB): GCVE-100-381413
Entry
Created: 07/22/2026 02:47Changes: 07/22/2026 02:47 (53)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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