Canit vulnerabilitiesRanked by how likely they are to be used.
Canit is made by Roaring Penguin. We track 1 published vulnerability in it, across 1 version. None of them is on the list of flaws known to be exploited today. If you run Canit, keep it on a version the vendor still supports.
We keep watching the known-exploited list.
Which Canit vulnerabilities are being exploited?
This is the list that matters most: flaws criminals are using now.
None of Canit's published vulnerabilities is on the list of flaws known to be exploited today. We keep watching that list.
Which Canit 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.
- 6.7%CVE-2002-1121High
SMTP content filter engines, including (1) GFI MailSecurity for Exchange/SMTP before 7.2, (2) InterScan VirusWall before 3.52 build 1494, (3) the default configuration of MIMEDefang before 2.21, and possibly other...
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1 new flaw affects software Acme tracks
SMTP content filter engines, including (1) GFI MailSecurity for Exchange/SMTP before 7.2, (2) InterScan VirusWall before 3.52 build 1494, (3) the default configuration of MIMEDefang before 2.21, and possibly other products, do not detect fragmented emails as defined in RFC2046 ("Message Fragmentation and Reassembly") and supported in such products as Outlook Express, which allows remote attackers to bypass content filtering, including virus checking, via fragmented emails of the message/partial content type.
- Matched to
- Canit 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 1 published vulnerability listed under the name Canit, across 1 version.
None of Canit's vulnerabilities is on the list of flaws known to be exploited today.
Create a Precursor Intelligence account and track Canit. 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.