---
cve: "CVE-2020-15206"
severity: "CRITICAL"
cvss: 9.0
epss: "96%"
vendor: "tensorflow"
kev: false
exploited: false
published: "2020-09-25 19:15:15"
tags: [cve, security, critical]
source: tsecurity.de CVE-Dossier
exported: "2026-09-11T00:46:51+02:00"
---

# CVE-2020-15206

> 9.0 CRITICAL · 🧪 PoC

## Beschreibung

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

## CVSS-Vektor

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

| Metrik | Wert | Bewertung |
|---|---|---|
| AV Angriffsvektor | Netzwerk | bad |
| AC Komplexität | Hoch | good |
| PR Privilegien | Keine | bad |
| UI Interaktion | Keine | bad |
| S Scope | Verändert | bad |
| C Vertraulichkeit | Hoch | bad |
| I Integrität | Hoch | bad |
| A Verfügbarkeit | Hoch | bad |

## Patch verfügbar (OSV)

- df8c55ce12b5cfc6f29b01889f7773911a75e6ef (Commit)
- 295ad2781683835be974faba0a191528d8079768 (Commit)

## Referenzen

- <https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1>
- <https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w5gh-2wr2-pm6g>
- <https://github.com/tensorflow/tensorflow/commit/adf095206f25471e864a8e63a0f1caef53a0e3a6>
- <http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html>

---
_Exportiert aus dem [tsecurity.de CVE-Dossier](https://tsecurity.de/cve?cve=CVE-2020-15206) · Datenquellen: EUVD (ENISA), NVD, OSV, CISA KEV, FIRST EPSS, Exploit-DB, BSI BITS_