CVE Tools
Home/Vulnerability/CVE-2016-20073

CVE-2016-20073

Answer My Question 1.3 Plugin WordPress SQL Injection via modal.php

Published: Jun 15, 2026Updated: Jun 15, 2026 Sources: CVE List NVD
8.2CVSS
HIGH

Answer My Question 1.3 plugin for WordPress contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the 'id' POST parameter. Attackers can submit crafted SQL statements to the modal.php endpoint to extract sensitive database information including WordPress terms and configuration data.

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

CVSS Vector Breakdown

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

Weaknesses

Affected Products

Answer My Question
mattkaye

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
Jun 15, 2026
Last Updated
Jun 15, 2026

Unlock Complete Vulnerability Intelligence

Get the full picture for CVE-2016-20073 and every CVE in our database. Create a free account — no credit card required.

Create Free Account
Plain-language analysis
Impact assessment and exploitation scenario in plain English
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