8.8
HIGH CVSS 4.0
CVE-2017-20270
Joomla! Component Twitch Tv 1.1 SQL Injection
Description

Joomla! Component Twitch Tv 1.1 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the username and id parameters. Attackers can send GET requests to index.php with option=com_twitchtv and view parameters containing SQL injection payloads to extract sensitive database information including credentials and configuration data.

INFO

Published Date :

June 19, 2026, 4:17 p.m.

Last Modified :

June 19, 2026, 4:17 p.m.

Remotely Exploit :

Yes !

Source :

VulnCheck
Affected Products

The following products are affected by CVE-2017-20270 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

No affected product recoded yet

CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 3.1 HIGH 83251b91-4cc7-4094-a5c7-464a1b83ea10
CVSS 3.1 HIGH [email protected]
CVSS 4.0 HIGH 83251b91-4cc7-4094-a5c7-464a1b83ea10
CVSS 4.0 HIGH [email protected]
Solution
Patch the component or restrict access to the affected parameters to prevent SQL injection.
  • Apply the vendor patch for the component.
  • Sanitize user input for username and id.
  • Validate all input parameters.

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2017-20270 vulnerability anywhere in the article.

EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.