CVE-20XX-?
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CVE-2020-15210

6.5 MEDIUM 0.7% exploit odds Fix listed

What it is

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

At a glance

Exploitability
Can be exploited over the network without logging in. High risk of service disruption.
Exploit odds
0.7% chance of exploitation in the next 30 days (EPSS).
Fix
A patch, advisory or fixed version is referenced. Upgrade or apply it.

Timeline

  1. PublishedDisclosed publicly on CVE.org and NVD
  2. Last updatedMost recent change to the record

Why it ranks here

Details

Published
Last modified
Exploit probability
0.7% · EPSS, next 30 days
Weakness
CWE-20 · Improper input validation
Record status
Modified

Affected

Attack profile CVSS 3.1 · 6.5

Attack vector
Network
Complexity
High
Privileges needed
None
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
Low
Availability
High
Raw vector

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H

Is it in your code?

Hand this to your coding agent. It searches your project for the affected products and checks versions. Nothing leaves your machine.

Read https://cve-list.com/agent/cve/CVE-2020-15210.md and follow it. Check whether this project is affected by CVE-2020-15210. Read only. Don't change anything and don't upload my code. Tell me yes, no or not sure, with the file as proof.

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Fix and advisories

References

NVD record · CVE.org record