CVE Tools
Home/Vulnerability/CVE-2019-25713

CVE-2019-25713

MyT-PM 1.5.1 SQL Injection via Charge[group_total] Parameter

Published: Apr 12, 2026Updated: Apr 12, 2026 Sources: CVE List NVD
7.1CVSS
HIGH

MyT-PM 1.5.1 contains an SQL injection vulnerability that allows authenticated attackers to execute arbitrary SQL queries by injecting malicious code through the Charge[group_total] parameter. Attackers can submit crafted POST requests to the /charge/admin endpoint with error-based, time-based blind, or stacked query payloads to extract sensitive database information or manipulate data.

EPSS Score
N/A
CISA KEV
Not in KEV
Exploits
No Known Exploits
Remediation
No Fix Available

CVSS Vector Breakdown

AV:NAC:LPR:LUI:NS:UC:HI:LA:N
Exploitability
AV:NAttack Vector
Network
AC:LAttack Complexity
Low
PR:LPrivileges Required
Low
UI:NUser Interaction
None
Scope
S:UScope
Unchanged
Impact
C:HConfidentiality
High
I:LIntegrity
Low
A:NAvailability
None

Weaknesses

Affected Products

Project Management
MyT

Attack Graph

Products CVE Techniques Tactics

Click technique nodes to view MITRE ATT&CK details. Scroll to zoom, drag to pan.

Exploitability

No known exploits, KEV entries, or remediation guidance available for this vulnerability yet.

MITRE ATT&CK

1 technique
Initial Access
View detailed technique mapping

References

and 1 more references View all →

Timeline

Published
Apr 12, 2026
Last Updated
Apr 12, 2026

Unlock Complete Vulnerability Intelligence

Get the full picture for CVE-2019-25713 and every CVE in our database. Create a free account — no credit card required.

Create Free Account
AI-powered analysis
Plain-language impact assessment and exploitation scenario
Attack graph visualization
Interactive attack path and kill chain mapping
Exploit details & PoC links
ExploitDB, Metasploit, GitHub PoCs with direct links
Nuclei scanner templates
Ready-to-use vulnerability scanner templates
Full remediation guide
Patch instructions, workarounds, and compliance impact
Interactive AI chat
Ask questions about this vulnerability in natural language
Related vulnerabilities
Semantically similar CVEs and attack patterns
REST API & MCP access
Integrate vulnerability data into your workflows