CVE-2021-29537 — CVE & Security Advisory Radar

🎯 CVE-2021-29537 LOW 2.5 🔥 EPSS 21% 🧪 PoC 🇪🇺 EUVD

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CVE-2021-29537 | TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedResizeBilinear` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/50711818d2e61ccce012591eeb4fdf93a8496726/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L705-L706) assumes that the 2 arguments are always valid scalars and tries to access

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedResizeBilinear` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/50711818d2e61ccce012591eeb4fdf93a8496726/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L705-L706) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Klassifikation & Betroffenheit:

tensorflow tensorflow < 2.1.4tensorflow 2.2.0, < 2.2.3tensorflow 2.4.0, < 2.4.2tensorflow 2.3.0, < 2.3.3google tensorflow *

Improper Restriction of Operations within the Bounds of a Memory Buffer 🎯 High

The product performs operations on a memory buffer, but it reads from or writes to a memory location outside the buffer's intended boundary. This may result in read or write operations on unexpected memory locations that could be linked to other variables, data structures, or internal program data.

🛡️ Empfohlene Mitigation: Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid. For example, many languages that perform their own memory management, such as Java and Perl, are not subject to buffer overflows. Other languages, such as Ada and C#, typically provide overflow prot…

Vollständige Definition bei MITRE ➔

⚔️ Typische Angriffsmuster (CAPEC):

CAPEC-10 · Buffer Overflow via Environment Variable… (High) CAPEC-14 · Client-side Injection-induced Buffer Ove… (High) CAPEC-24 · Filter Failure through Buffer Overflow (High) CAPEC-42 · MIME Conversion (High) CAPEC-44 · Overflow Binary Resource File (Very High) CAPEC-45 · Buffer Overflow via Symbolic Links (High) CAPEC-100 · Overflow Buffers (Very High) CAPEC-123 · Buffer Manipulation (Very High)

🧩 Ähnliche Schwachstellen (Hersteller/Klasse/Score-Band):

CVE-2020-15213 4.0 CVE-2021-29610 3.6 CVE-2021-29611 3.6 CVE-2021-29612 3.6 CVE-2021-29513 2.5

🩹 Patch verfügbar (OSV):

🩹 0931ea3d985bb9c8fdd054a5e29c4129623c849b (Commit) 🩹 cfe0c80169ae984bcdc99ff6de7444164aaa8e07 (Commit)

📚 Referenzen & Quellen:

🇪🇺 Original-Eintrag (ENISA EUVD) 🇺🇸 NVD-Eintrag

Ausnutzungs-Zeitleiste:

Reserviert 2021

Veröffentlicht 05/2021

Heute 10.09.

CVSS-Vektor-Analyse: 2.5

AV · Angriffsvektor Lokal

AC · Komplexität Hoch

PR · Privilegien Gering

UI · Interaktion Keine

S · Scope Unverändert

C · Vertraulichkeit Keine

I · Integrität Keine

A · Verfügbarkeit Gering

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

Veröffentlicht:14.05.2021

Aktualisiert:17.06.2026 03:47

Assigner (CNA):GitHub_M

EUVD-ID:EUVD-2021-0278

Quellen: 🇪🇺 EUVD-Datenbank (ENISA) + 🇺🇸 NVD-Anreicherung · 24-h-Cache

CWE-119: Memory Corruption ✓ Offizieller Patch / Advisory verfügbar

💡 Gegenmaßnahme: Sicherheits-Update des Herstellers zeitnah einspielen und Netzwerksegmentierung prüfen.

Tier	2026-08-29	2026-09-06
≥90 %	4	0
≥50 %	4	0
≥10 %	3	0
<10 %	304	300

2.5 LOW

🇪🇺 EUVD

EPSS

21%

CVE-2021-29537 💻 Lokal 🔑 Geringe Nutzerrechte nötig

🧪 tensorflow

CVE-2021-29537 | TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedResizeBilinear` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/50711818d2e61ccce012591eeb4fdf93a8496726/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L705-L706) assumes that the 2 arguments are always valid scalars and tries to access

CWE-119: Memory Corruption ✓ Offizieller Patch / Advisory verfügbar

💡 Gegenmaßnahme: Sicherheits-Update des Herstellers zeitnah einspielen und Netzwerksegmentierung prüfen.

14.05.2021

🛡️ Details ➔

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