Cyber Resilience

CVE-2020-37163

HighPublic PoC

Published: 07 February 2026

Published
07 February 2026
Modified
15 April 2026
KEV Added
Patch
CVSS Score v4 8.8 CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
EPSS Score 0.0041 32.6th percentile
Risk Priority 55 floored blend · peak EPSS

Summary

CVE-2020-37163 is a high-severity SQL Injection (CWE-89) vulnerability. Its CVSS base score is 8.8 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 32.6th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

The strongest mitigations our analysis identified are NIST 800-53 SI-10 (Information Input Validation) and SI-2 (Flaw Remediation).

Deeper analysis

CVE-2020-37163 is a SQL injection vulnerability (CWE-89) affecting QuickDate 1.3.2. The flaw resides in the find_matches endpoint, where the _located parameter fails to properly sanitize user input, enabling remote attackers to manipulate database queries. Specifically, attackers can inject UNION-based SQL statements to extract sensitive database information, including user credentials, database name, and system version. The vulnerability carries a CVSS v3.1 base score of 8.2 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N), indicating high severity due to its network accessibility and confidentiality impact.

Unauthenticated remote attackers can exploit this vulnerability over the network with low attack complexity and no user interaction required. By crafting malicious payloads for the _located parameter, they can dump database contents, achieving high confidentiality impact through data exfiltration and low integrity impact via query manipulation, while availability remains unaffected.

Advisories and related resources include an archived QuickDate script site at https://web.archive.org/web/20200112151117/https://quickdatescript.com/, an Exploit-DB proof-of-concept at https://www.exploit-db.com/exploits/48022, and a VulnCheck advisory at https://www.vulncheck.com/advisories/quickdate-sql-injection. These references document the issue and exploitation details but do not specify patches or mitigations in the available information.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability details

QuickDate 1.3.2 contains a SQL injection vulnerability that allows remote attackers to manipulate database queries through the '_located' parameter in the find_matches endpoint. Attackers can inject UNION-based SQL statements to extract database information including user credentials, database name, and system…

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version.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
T1213.006 Databases Collection
Adversaries may leverage databases to mine valuable information.
Why these techniques?

SQL injection in public-facing web app (find_matches endpoint) directly enables T1190 exploitation for initial access and data retrieval from the backend database (T1213.006).

Confidence: HIGH · MITRE ATT&CK Enterprise v19.0

CVEs Like This One

CVE-2018-25199Shared CWE-89
CVE-2026-27179Shared CWE-89
CVE-2025-0308Shared CWE-89
CVE-2019-25581Shared CWE-89
CVE-2026-27885Shared CWE-89
CVE-2019-25479Shared CWE-89
CVE-2026-1476Shared CWE-89
CVE-2019-25526Shared CWE-89
CVE-2025-69365Shared CWE-89
CVE-2019-25573Shared CWE-89

Affected Assets

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

prevent

Directly prevents SQL injection by requiring validation and sanitization of user inputs like the '_located' parameter before database query execution.

prevent

Mandates identification, reporting, and correction of the specific SQL injection flaw in the find_matches endpoint of QuickDate 1.3.2.

prevent

Provides boundary protection via web application firewalls or similar to inspect and block malicious SQL injection payloads in network traffic to the vulnerable endpoint.

References