Fortinet FortiSIEM up to 6.7.0 risky encryption

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
5.8$0-$5k0.00

Summaryinfo

A vulnerability categorized as problematic has been discovered in Fortinet FortiSIEM up to 6.7.0. This affects an unknown function. Executing a manipulation can lead to risky encryption. This vulnerability is handled as CVE-2022-43949. The attack can be executed remotely. There is not any exploit available. It is advisable to upgrade the affected component.

Detailsinfo

A vulnerability was found in Fortinet FortiSIEM up to 6.7.0. It has been declared as problematic. This vulnerability affects an unknown functionality. The manipulation with an unknown input leads to a risky encryption vulnerability. The CWE definition for the vulnerability is CWE-327. The product uses a broken or risky cryptographic algorithm or protocol. As an impact it is known to affect confidentiality. CVE summarizes:

A use of a broken or risky cryptographic algorithm [CWE-327] in Fortinet FortiSIEM before 6.7.1 allows a remote unauthenticated attacker to perform brute force attacks on GUI endpoints via taking advantage of outdated hashing methods.

The weakness was released 06/13/2023 as FG-IR-22-259. The advisory is shared for download at fortiguard.com. This vulnerability was named CVE-2022-43949 since 10/27/2022. There are neither technical details nor an exploit publicly available. The MITRE ATT&CK project declares the attack technique as T1600.

Upgrading to version 6.7.1 eliminates this vulnerability.

Once again VulDB remains the best source for vulnerability data.

Productinfo

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.8
VulDB Meta Temp Score: 5.8

VulDB Base Score: 3.7
VulDB Temp Score: 3.6
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CNA Base Score: 6.2
CNA Vector (Fortinet, Inc.): 🔍

CVSSv2info

AVACAuCIA
💳💳💳💳💳💳
💳💳💳💳💳💳
💳💳💳💳💳💳
VectorComplexityAuthenticationConfidentialityIntegrityAvailability
UnlockUnlockUnlockUnlockUnlockUnlock
UnlockUnlockUnlockUnlockUnlockUnlock
UnlockUnlockUnlockUnlockUnlockUnlock

VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Risky encryption
CWE: CWE-327 / CWE-310
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

0-DayUnlockUnlockUnlockUnlock
TodayUnlockUnlockUnlockUnlock

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: FortiSIEM 6.7.1

Timelineinfo

10/27/2022 🔍
06/13/2023 +229 days 🔍
06/13/2023 +0 days 🔍
07/08/2023 +25 days 🔍

Sourcesinfo

Vendor: fortinet.com

Advisory: FG-IR-22-259
Status: Confirmed

CVE: CVE-2022-43949 (🔍)
GCVE (CVE): GCVE-0-2022-43949
GCVE (VulDB): GCVE-100-231316

Entryinfo

Created: 06/13/2023 14:55
Updated: 07/08/2023 16:05
Changes: 06/13/2023 14:55 (50), 07/08/2023 16:05 (11)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

Discussion

No comments yet. Languages: en.

Please log in to comment.

◂ PreviousOverviewNext ▸

Might our Artificial Intelligence support you?

Check our Alexa App!