Adaptive Scalable Texture Compression Encoder vulnerabilitiesRanked by how likely they are to be used.
Adaptive Scalable Texture Compression Encoder is made by Arm. We track 2 published vulnerabilities in it, across 18 versions. None of them is on the list of flaws known to be exploited today. If you run Adaptive Scalable Texture Compression Encoder, keep it on a version the vendor still supports.
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Which Adaptive Scalable Texture Compression Encoder vulnerabilities are being exploited?
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None of Adaptive Scalable Texture Compression Encoder's published vulnerabilities is on the list of flaws known to be exploited today. We keep watching that list.
Which Adaptive Scalable Texture Compression Encoder 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.
- 1.2%CVE-2021-43086Critical
ARM astcenc 3.2.0 is vulnerable to Buffer Overflow.
- 0.8%CVE-2021-44331High
ARM astcenc 3.2.0 is vulnerable to Buffer Overflow in function encode_ise().
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1 new flaw affects software Acme tracks
ARM astcenc 3.2.0 is vulnerable to Buffer Overflow. When the compression function of the astc-encoder project with -cl option was used, a stack-buffer-overflow occurred in function encode_ise() in function compress_symbolic_block_for_partition_2planes() in "/Source/astcenc_compress_symbolic.cpp".
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- Adaptive Scalable Texture Compression Encoder 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 Adaptive Scalable Texture Compression Encoder, across 18 versions.
None of Adaptive Scalable Texture Compression Encoder's vulnerabilities is on the list of flaws known to be exploited today.
Create a Precursor Intelligence account and track Adaptive Scalable Texture Compression Encoder. 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.