Foxit PDF Reader < 12.1 Vulnerability

high Nessus Plugin ID 170121

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Synopsis

A PDF viewer installed on the remote Windows host is affected by a vulnerability

Description

According to its version, the Foxit PDF Reader application (previously named Foxit Reader) installed on the remote Windows host is prior to 12.1. It is, therefore affected by vulnerability:

- This vulnerability allows remote attackers to execute arbitrary code on affected installations of Foxit PDF Reader 12.0.2.12465. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the handling of Annotation objects. The issue results from the lack of validating the existence of an object prior to performing operations on the object. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-19478. (CVE-2022-43649)

Note that Nessus has not tested for this issue but has instead relied only on the application's self-reported version number.

Solution

Upgrade to Foxit PDF Reader version 12.1 or later

Plugin Details

Severity: High

ID: 170121

File Name: foxit_reader_12_1.nasl

Version: 1.6

Type: local

Agent: windows

Family: Windows

Published: 1/18/2023

Updated: 10/9/2023

Supported Sensors: Nessus Agent, Nessus

Risk Information

VPR

Risk Factor: Medium

Score: 5.9

CVSS v2

Risk Factor: High

Base Score: 7.2

Temporal Score: 5.3

Vector: CVSS2#AV:L/AC:L/Au:N/C:C/I:C/A:C

CVSS Score Source: CVE-2022-43649

CVSS v3

Risk Factor: High

Base Score: 7.8

Temporal Score: 6.8

Vector: CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Temporal Vector: CVSS:3.0/E:U/RL:O/RC:C

Vulnerability Information

CPE: cpe:/a:foxitsoftware:foxit_reader

Required KB Items: installed_sw/Foxit Reader, SMB/Registry/Enumerated

Exploit Ease: No known exploits are available

Patch Publication Date: 12/13/2022

Vulnerability Publication Date: 12/13/2022

Reference Information

CVE: CVE-2022-43649

IAVA: 2023-A-0128-S

Detections

Analytics