CVE-20XX-?
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CVE-2020-15207

8.7 HIGH 1% 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, to mimic Python's indexing with negative values, TFLite uses `ResolveAxis` to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the `DCHECK` does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, and is released in TensorFlow versions 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 data tampering, service disruption.
Exploit odds
1.2% 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
1.2% · EPSS, next 30 days
Weakness
CWE-119 · Buffer errors
Record status
Modified

Affected

Attack profile CVSS 3.1 · 8.7

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

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:N/I:H/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-2020-15207.md and follow it. Check whether this project is affected by CVE-2020-15207. 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