IBM Sametime Meeting Server 8.5.2/9.0 cross-site request forgery
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.4 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in IBM Sametime Meeting Server 8.5.2/9.0. Impacted is an unknown function. Performing a manipulation results in cross-site request forgery. This vulnerability is identified as CVE-2016-2965. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability was found in IBM Sametime Meeting Server 8.5.2/9.0. It has been classified as problematic. This affects some unknown functionality. The manipulation with an unknown input leads to a cross-site request forgery vulnerability. CWE is classifying the issue as CWE-352. The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request. This is going to have an impact on integrity. The summary by CVE is:
IBM Sametime Meeting Server 8.5.2 and 9.0 is vulnerable to cross-site request forgery, caused by improper validation of user-supplied input. By persuading a user to visit a malicious link, a remote attacker could force the user to log out of Sametime. IBM X-Force ID: 113846.
The bug was discovered 08/23/2017. The weakness was released 08/29/2017 (Website). It is possible to read the advisory at ibm.com. This vulnerability is uniquely identified as CVE-2016-2965 since 03/09/2016. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 01/10/2021). It is expected to see the exploit prices for this product increasing in the near future.
The vulnerability was handled as a non-public zero-day exploit for at least 6 days. During that time the estimated underground price was around $5k-$25k.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 100599†). Entries connected to this vulnerability are available at VDB-105884, VDB-105885, VDB-105886 and VDB-105888. 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: 5.4VulDB Meta Temp Score: 5.4
VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.5
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Cross-site request forgeryCWE: CWE-352 / CWE-862 / CWE-863
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 Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
03/09/2016 🔍08/23/2017 🔍
08/23/2017 🔍
08/29/2017 🔍
08/29/2017 🔍
08/30/2017 🔍
01/10/2021 🔍
Sources
Vendor: ibm.comAdvisory: ibm.com
Status: Not defined
Confirmation: 🔍
CVE: CVE-2016-2965 (🔍)
GCVE (CVE): GCVE-0-2016-2965
GCVE (VulDB): GCVE-100-105891
X-Force: 113846
SecurityFocus: 100599 - IBM Sametime Meetings Server Multiple Security Vulnerabilities
SecurityTracker: 1039231
See also: 🔍
Entry
Created: 08/30/2017 08:36Updated: 01/10/2021 08:53
Changes: 08/30/2017 08:36 (53), 11/11/2019 13:27 (10), 01/10/2021 08:53 (3)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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