IBM Security Network Protection up to 5.3.1.6 GSKit Credentials information disclosure
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.5 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in IBM Security Network Protection up to 5.3.1.6. This issue affects some unknown processing of the component GSKit. The manipulation leads to information disclosure (Credentials). This vulnerability is referenced as CVE-2016-0201. No exploit is available. It is suggested to upgrade the affected component.
Details
A vulnerability was found in IBM Security Network Protection up to 5.3.1.6. It has been rated as problematic. This issue affects an unknown code of the component GSKit. The manipulation with an unknown input leads to a information disclosure vulnerability (Credentials). Using CWE to declare the problem leads to CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. Impacted is confidentiality. The summary by CVE is:
GSKit in IBM Security Network Protection 5.3.1 before 5.3.1.7 and 5.3.2 allows remote attackers to discover credentials by triggering an MD5 collision.
The weakness was published 01/18/2016 (Website). It is possible to read the advisory at www-01.ibm.com. The identification of this vulnerability is CVE-2016-0201 since 12/08/2015. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.
Upgrading to version 5.3.1.7 eliminates this vulnerability.
The vulnerability is also documented in the databases at SecurityFocus (BID 80883†) and Vulnerability Center (SBV-56782†). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
- Vendor: https://www.ibm.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.6VulDB Meta Temp Score: 5.5
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.9
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Name: CredentialsClass: Information disclosure / Credentials
CWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
OpenVAS ID: 800193
OpenVAS Name: IBM Security Network Protection Information Disclosure Vulnerability
OpenVAS File: 🔍
OpenVAS Family: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: Security Network Protection 5.3.1.7
Timeline
12/08/2015 🔍01/14/2016 🔍
01/17/2016 🔍
01/18/2016 🔍
01/18/2016 🔍
01/19/2016 🔍
02/28/2016 🔍
07/03/2022 🔍
Sources
Vendor: ibm.comAdvisory: www-01.ibm.com
Status: Not defined
Confirmation: 🔍
CVE: CVE-2016-0201 (🔍)
GCVE (CVE): GCVE-0-2016-0201
GCVE (VulDB): GCVE-100-80315
SecurityFocus: 80883 - IBM Security Network Protection and Mobile Connect Information Disclosure Vulnerability
SecurityTracker: 1034696
Vulnerability Center: 56782 - IBM HTTP Server 8 - 8.0.0.12 and 8.5 - 8.5.5.8 Remote Information Disclosure in GSKit - CVE-2016-0201, Medium
Entry
Created: 01/19/2016 10:10Updated: 07/03/2022 14:51
Changes: 01/19/2016 10:10 (66), 08/24/2018 08:53 (8), 07/03/2022 14:51 (4)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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