A-Mq Streams vulnerabilitiesRanked by how likely they are to be used.
A-Mq Streams is made by Red Hat. We track 2 published vulnerabilities in it, across 1 version. None of them is on the list of flaws known to be exploited today. If you run A-Mq Streams, keep it on a version the vendor still supports.
We keep watching the known-exploited list.
Which A-Mq Streams vulnerabilities are being exploited?
This is the list that matters most: flaws criminals are using now.
None of A-Mq Streams's published vulnerabilities is on the list of flaws known to be exploited today. We keep watching that list.
Which A-Mq Streams 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.
- 0.4%CVE-2023-0833Medium
A flaw was found in Red Hat's AMQ-Streams, which ships a version of the OKHttp component with an information disclosure flaw via an exception triggered by a header containing an illegal value.
- 0.3%CVE-2021-4178Medium
A arbitrary code execution flaw was found in the Fabric 8 Kubernetes client affecting versions 5.0.0-beta-1 and above.
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1 new flaw affects software Acme tracks
A flaw was found in Red Hat's AMQ-Streams, which ships a version of the OKHttp component with an information disclosure flaw via an exception triggered by a header containing an illegal value. This issue could allow an authenticated attacker to access information outside of their regular permissions.
- Matched to
- A-Mq Streams 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 A-Mq Streams, across 1 version.
None of A-Mq Streams's vulnerabilities is on the list of flaws known to be exploited today.
Create a Precursor Intelligence account and track A-Mq Streams. 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.