CVE-2026-73558

Published: Ago 13, 2026 Last Modified: Ago 13, 2026

ExploitDB:

Other exploit source:

Google Dorks:

MEDIUM 5,3

Source: [email protected]

Attack Vector: network

Attack Complexity: high

Privileges Required: none

User Interaction: required

Scope: unchanged

Confidentiality: high

Integrity: none

Availability: none

Description

AI Translation Available

vLLM is an inference and serving engine for large language models. Prior to 0.27.0, an integer overflow in blockIdx.x * 2 * d in activation_kernels.cu can cause act_and_mul_kernel to consume another batched user's input, allowing a request processed in the same inference batch to receive a partial or complete copy of another user's inference result. This issue is fixed in version 0.27.0.

EPSS (Exploit Prediction Scoring System)

Trend Analysis

EPSS (Exploit Prediction Scoring System)

Prevede la probabilità di sfruttamento basata su intelligence sulle minacce e sulle caratteristiche della vulnerabilità.

EPSS Score

0,0026

Percentile

0,2th

Updated

Single Data Point

Only one EPSS measurement is available for this CVE. Trend analysis requires multiple data points over time.

190

Integer Overflow or Wraparound

Stable

Abstraction: Base Structure: Simple

Common Consequences

Security Scopes Affected:

Availability Integrity Confidentiality Access Control Other

Potential Impacts:

Dos: Crash, Exit, Or Restart Dos: Resource Consumption (Memory) Dos: Instability Modify Memory Execute Unauthorized Code Or Commands Bypass Protection Mechanism Alter Execution Logic Dos: Resource Consumption (Cpu)