IBM Connections up to 4.0 CR4/4.5 CR5/5.0 CR3 Stack Trace information disclosure
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.1 | $0-$5k | 0.00 |
Summary
A vulnerability was found in IBM Connections up to 4.0 CR4/4.5 CR5/5.0 CR3. It has been rated as problematic. The affected element is an unknown function of the component Stack Trace Handler. Performing a manipulation results in information disclosure. This vulnerability is identified as CVE-2016-2957. The attack can be initiated remotely. There is not any exploit available. To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability, which was classified as problematic, was found in IBM Connections up to 4.0 CR4/4.5 CR5/5.0 CR3 (Groupware Software). This affects an unknown function of the component Stack Trace Handler. The manipulation with an unknown input leads to a information disclosure vulnerability. CWE is classifying the issue as CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. This is going to have an impact on confidentiality. The summary by CVE is:
IBM Connections 4.0 through CR4, 4.5 through CR5, and 5.0 before CR4 allows remote authenticated users to obtain sensitive information by reading a stack trace in a response.
The bug was discovered 11/11/2016. The weakness was released 11/30/2016 (Website). It is possible to read the advisory at www-01.ibm.com. This vulnerability is uniquely identified as CVE-2016-2957 since 03/09/2016. The exploitability is told to be easy. It is possible to initiate the attack remotely. The successful exploitation requires a authentication. 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.
The vulnerability was handled as a non-public zero-day exploit for at least 19 days. During that time the estimated underground price was around $5k-$25k.
Applying a patch is able to eliminate this problem.
The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 94300†). Entries connected to this vulnerability are available at VDB-93892, VDB-93894, VDB-93895 and VDB-93896. 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: 4.3VulDB Meta Temp Score: 4.2
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 4.3
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
Class: Information disclosureCWE: 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 |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔍
Timeline
03/09/2016 🔍11/11/2016 🔍
11/14/2016 🔍
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-2016-2957 (🔍)
GCVE (CVE): GCVE-0-2016-2957
GCVE (VulDB): GCVE-100-93891
SecurityFocus: 94300 - IBM Connections CVE-2016-2957 Information Disclosure Vulnerability
See also: 🔍
Entry
Created: 11/30/2016 20:59Updated: 06/13/2019 10:25
Changes: 11/30/2016 20:59 (53), 06/13/2019 10:25 (13)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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