CVE-2019-7482

Published: Dic 19, 2019 Last Modified: Nov 21, 2024
ExploitDB:
Other exploit source:
Google Dorks:
CRITICAL 9,8
Attack Vector: network
Attack Complexity: low
Privileges Required: none
User Interaction: none
Scope: unchanged
Confidentiality: high
Integrity: high
Availability: high
HIGH 7,5
Access Vector: network
Access Complexity: low
Authentication: none
Confidentiality: partial
Integrity: partial
Availability: partial

Description

AI Translation Available

Stack-based buffer overflow in SonicWall SMA100 allows an unauthenticated user to execute arbitrary code in function libSys.so. This vulnerability impacted SMA100 version 9.0.0.3 and earlier.

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
0,6458
Percentile
1,0th
Updated

EPSS Score Trend (Last 91 Days)

121

Stack-based Buffer Overflow

Draft
Common Consequences
Security Scopes Affected:
Availability Integrity Confidentiality Access Control Other
Potential Impacts:
Modify Memory Dos: Crash, Exit, Or Restart Dos: Resource Consumption (Cpu) Dos: Resource Consumption (Memory) Execute Unauthorized Code Or Commands Bypass Protection Mechanism Other
Applicable Platforms
Languages: C, C++, Memory-Unsafe
View CWE Details
787

Out-of-bounds Write

Draft
Common Consequences
Security Scopes Affected:
Integrity Availability Other
Potential Impacts:
Modify Memory Execute Unauthorized Code Or Commands Dos: Crash, Exit, Or Restart Unexpected State
Applicable Platforms
Languages: Assembly, C, C++, Memory-Unsafe
Technologies: ICS/OT
View CWE Details
Operating System

Sma 100 Firmware by Sonicwall

Version Range Affected
To 9.0.0.3 (inclusive)
cpe:2.3:o:sonicwall:sma_100_firmware:*:*:*:*:*:*:*:*
Common Platform Enumeration - Standardized vulnerability identification
https://psirt.global.sonicwall.com/vuln-detail/SNWLID-2019-0017
https://psirt.global.sonicwall.com/vuln-detail/SNWLID-2019-0017