IBM SPSS Statistics 26.0/27.0.1/28.0.1/29.0.2 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 (≈)
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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.
5.7$0-$5k0.00

Summaryinfo

A vulnerability was found in IBM SPSS Statistics 26.0/27.0.1/28.0.1/29.0.2. It has been classified as problematic. This impacts an unknown function. Performing a manipulation results in risky encryption. This vulnerability is cataloged as CVE-2024-31896. It is possible to initiate the attack remotely. There is no exploit available. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability was found in IBM SPSS Statistics 26.0/27.0.1/28.0.1/29.0.2. It has been classified as problematic. This affects an unknown code block. The manipulation with an unknown input leads to a risky encryption vulnerability. CWE is classifying the issue as CWE-327. The product uses a broken or risky cryptographic algorithm or protocol. This is going to have an impact on confidentiality. The summary by CVE is:

IBM SPSS Statistics 26.0, 27.0.1, 28.0.1, and 29.0.2 uses weaker than expected cryptographic algorithms that could allow an attacker to decrypt highly sensitive information.

It is possible to read the advisory at ibm.com. This vulnerability is uniquely identified as CVE-2024-31896 since 04/07/2024. The exploitability is told to be difficult. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1600 according to MITRE ATT&CK.

Upgrading eliminates this vulnerability.

Statistical analysis made it clear that VulDB provides the best quality 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: 5.7
VulDB Meta Temp Score: 5.7

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

NVD Base Score: 7.5
NVD Vector: 🔍

CNA Base Score: 5.9
CNA Vector (ibm): 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

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

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Timelineinfo

04/07/2024 🔍
03/25/2025 +352 days 🔍
03/25/2025 +0 days 🔍
08/18/2025 +146 days 🔍

Sourcesinfo

Vendor: ibm.com

Advisory: ibm.com
Status: Confirmed

CVE: CVE-2024-31896 (🔍)
GCVE (CVE): GCVE-0-2024-31896
GCVE (VulDB): GCVE-100-301299

Entryinfo

Created: 03/25/2025 21:39
Updated: 08/18/2025 22:01
Changes: 03/25/2025 21:39 (63), 08/18/2025 22:01 (12)
Complete: 🔍
Cache ID: 216::103

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