Hpack vulnerabilitiesRanked by how likely they are to be used.
Hpack is made by Python. We track 1 published vulnerability in it, across 5 versions. None of them is on the list of flaws known to be exploited today. If you run Hpack, keep it on a version the vendor still supports.
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Which Hpack vulnerabilities are being exploited?
This is the list that matters most: flaws criminals are using now.
None of Hpack's published vulnerabilities is on the list of flaws known to be exploited today. We keep watching that list.
Which Hpack 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.
- 1.8%CVE-2016-6581High
A HTTP/2 implementation built using any version of the Python HPACK library between v1.0.0 and v2.2.0 could be targeted for a denial of service attack, specifically a so-called "HPACK Bomb" attack.
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1 new flaw affects software Acme tracks
A HTTP/2 implementation built using any version of the Python HPACK library between v1.0.0 and v2.2.0 could be targeted for a denial of service attack, specifically a so-called "HPACK Bomb" attack. This attack occurs when an attacker inserts a header field that is exactly the size of the HPACK dynamic header table into the dynamic header table. The attacker can then send a header block that is simply repeated requests to expand that field in the dynamic table. This can lead to a gigantic compression ratio of 4,096 or better, meaning that 16kB of data can decompress to 64MB of data on the target machine.
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- Hpack on Acme's software list
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- 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 Hpack, across 5 versions.
None of Hpack's vulnerabilities is on the list of flaws known to be exploited today.
Create a Precursor Intelligence account and track Hpack. 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.