Wassup Plugin vulnerabilitiesRanked by how likely they are to be used.
Wassup Plugin is made by WordPress. We track 2 published vulnerabilities in it, across 7 versions. None of them is on the list of flaws known to be exploited today. If you run Wassup Plugin, keep it on a version the vendor still supports.
We keep watching the known-exploited list.
Which Wassup Plugin vulnerabilities are being exploited?
This is the list that matters most: flaws criminals are using now.
None of Wassup Plugin's published vulnerabilities is on the list of flaws known to be exploited today. We keep watching that list.
Which Wassup Plugin flaws are most likely to be used?
Ranked by the latest exploit-likelihood forecast: the chance each flaw is used in an attack in the next 30 days. A high severity score on its own doesn't tell you that. Flaws shared by many other makers' products are left out.
- 2.9%CVE-2008-0520High
Multiple SQL injection vulnerabilities in main.php in the WassUp plugin 1.4 through 1.4.3 for WordPress allow remote attackers to execute arbitrary SQL commands via the (1) from_date or (2) to_date parameter to spy.php.
- 2.1%CVE-2012-2633Medium
Cross-site scripting (XSS) vulnerability in wassup.php in the WassUp plugin before 1.8.3.1 for WordPress allows remote attackers to inject arbitrary web script or HTML via the User-Agent HTTP header.
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1 new flaw affects software Acme tracks
Multiple SQL injection vulnerabilities in main.php in the WassUp plugin 1.4 through 1.4.3 for WordPress allow remote attackers to execute arbitrary SQL commands via the (1) from_date or (2) to_date parameter to spy.php.
- Matched to
- Wassup Plugin on Acme's software list
- What to do
- Plan in the vendor’s update
Sent to the alert recipients Acme chose. Also in the app and to Acme's webhook.
We track 2 published vulnerabilities listed under the name Wassup Plugin, across 7 versions.
None of Wassup Plugin's vulnerabilities is on the list of flaws known to be exploited today.
Create a Precursor Intelligence account and track Wassup Plugin. We match it against every published flaw, give each one a risk score from 0 to 100 and keep watching, so you hear about new ones as soon as we know, by email, in the app or by webhook.