IBM Sterling Partner Engagement Manager 2.0 session expiration

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.
5.6$0-$5k0.00

Summaryinfo

A vulnerability identified as problematic has been detected in IBM Sterling Partner Engagement Manager 2.0. Affected by this issue is some unknown functionality. Performing a manipulation results in session expiration. This vulnerability is reported as CVE-2022-34334. The attack is possible to be carried out remotely. No exploit exists. You should upgrade the affected component.

Detailsinfo

A vulnerability, which was classified as problematic, was found in IBM Sterling Partner Engagement Manager 2.0 (Business Process Management Software). This affects some unknown functionality. The manipulation with an unknown input leads to a session expiration vulnerability. CWE is classifying the issue as CWE-613. According to WASC, "Insufficient Session Expiration is when a web site permits an attacker to reuse old session credentials or session IDs for authorization." This is going to have an impact on confidentiality. The summary by CVE is:

IBM Sterling Partner Engagement Manager 2.0 does not invalidate session after logout which could allow an authenticated user to impersonate another user on the system. IBM X-Force ID: 229704.

The weakness was disclosed 10/11/2022. It is possible to read the advisory at ibm.com. This vulnerability is uniquely identified as CVE-2022-34334 since 06/22/2022. The technical details are unknown and an exploit is not publicly available.

Upgrading eliminates this vulnerability.

The vulnerability is also documented in the vulnerability database at X-Force (229704). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.7
VulDB Meta Temp Score: 5.6

VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.5
NVD Vector: 🔍

CNA Base Score: 6.3
CNA Vector (IBM Corporation): 🔍

CVSSv2info

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

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

Exploitinginfo

Class: Session expiration
CWE: CWE-613
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
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: 🔍

Timelineinfo

06/22/2022 🔍
10/11/2022 +111 days 🔍
10/11/2022 +0 days 🔍
10/31/2022 +20 days 🔍

Sourcesinfo

Vendor: ibm.com

Advisory: ibm.com
Status: Confirmed

CVE: CVE-2022-34334 (🔍)
GCVE (CVE): GCVE-0-2022-34334
GCVE (VulDB): GCVE-100-210387
X-Force: 229704

Entryinfo

Created: 10/11/2022 10:10
Updated: 10/31/2022 14:58
Changes: 10/11/2022 10:10 (51), 10/31/2022 14:58 (11)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Discussion

No comments yet. Languages: en.

Please log in to comment.

◂ PreviousOverviewNext ▸

Do you want to use VulDB in your project?

Use the official API to access entries easily!