IBM Sterling B2B Integrator up to 5.2 Password credentials management
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.1 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in IBM Sterling B2B Integrator up to 5.2. This vulnerability affects unknown code. The manipulation leads to credentials management (Password). This vulnerability is traded as CVE-2016-5890. It is possible to initiate the attack remotely. There is no exploit available. It is advisable to upgrade the affected component.
Details
A vulnerability, which was classified as problematic, has been found in IBM Sterling B2B Integrator up to 5.2 (Business Process Management Software). This issue affects an unknown functionality. The manipulation with an unknown input leads to a credentials management vulnerability (Password). Using CWE to declare the problem leads to CWE-255. Impacted is integrity. The summary by CVE is:
Cross-site scripting (XSS) vulnerability in IBM Sterling B2B Integrator 5.2 before 5020500_14 and 5.2 06 before 5020602_1 allows remote authenticated users to change arbitrary passwords via unspecified vectors.
The bug was discovered 10/03/2016. The weakness was shared 11/30/2016 (Website). It is possible to read the advisory at www-01.ibm.com. The identification of this vulnerability is CVE-2016-5890 since 06/29/2016. 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 T1552 according to MITRE ATT&CK.
The vulnerability was handled as a non-public zero-day exploit for at least 58 days. During that time the estimated underground price was around $5k-$25k.
Upgrading to version 5.2 5020500_14 or 5.2 06 5020602_1 eliminates this vulnerability.
The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 94391†). The entry VDB-93898 is related to this item. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
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: 5.3VulDB Meta Temp Score: 5.2
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.3
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 |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Name: PasswordClass: Credentials management / Password
CWE: CWE-255
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 |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: Sterling B2B Integrator 5.2 5020500_14/5.2 06 5020602_1
Timeline
06/29/2016 🔍10/03/2016 🔍
11/17/2016 🔍
11/30/2016 🔍
11/30/2016 🔍
11/30/2016 🔍
06/13/2019 🔍
Sources
Vendor: ibm.comAdvisory: www-01.ibm.com
Status: Not defined
Confirmation: 🔍
CVE: CVE-2016-5890 (🔍)
GCVE (CVE): GCVE-0-2016-5890
GCVE (VulDB): GCVE-100-93899
SecurityFocus: 94391 - IBM Sterling B2B Integrator CVE-2016-5890 Security Bypass Vulnerability
See also: 🔍
Entry
Created: 11/30/2016 21:00Updated: 06/13/2019 11:14
Changes: 11/30/2016 21:00 (54), 06/13/2019 11:14 (13)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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