VDB-96467 · CVE-2016-8929 · BID 95437

IBM Kenexa LMS on Cloud sql injection

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 (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
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.
5.9$5k-$25k0.00

Summaryinfo

A vulnerability was found in IBM Kenexa LMS on Cloud. It has been rated as critical. This affects an unknown function. The manipulation leads to sql injection. This vulnerability is uniquely identified as CVE-2016-8929. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability was found in IBM Kenexa LMS on Cloud (Cloud Software) (version unknown) and classified as critical. This issue affects an unknown function. The manipulation with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

IBM Kenexa LMS on Cloud is vulnerable to SQL injection. A remote attacker could send specially-crafted SQL statements, which could allow the attacker to view, add, modify or delete information in the back-end database.

The bug was discovered 01/16/2017. The weakness was disclosed 02/01/2017 (Website). It is possible to read the advisory at ibm.com. The identification of this vulnerability is CVE-2016-8929 since 10/25/2016. The exploitation is known to be easy. The attack may be initiated remotely. The successful exploitation requires a simple authentication. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 08/09/2020). It is expected to see the exploit prices for this product increasing in the near future.The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

The vulnerability was handled as a non-public zero-day exploit for at least 16 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 95437†). The entries VDB-96405, VDB-96407, VDB-96408 and VDB-96409 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.9
VulDB Meta Temp Score: 5.9

VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 5.4
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
💳💳💳💳💳💳
💳💳💳💳💳💳
💳💳💳💳💳💳
VectorComplexityAuthenticationConfidentialityIntegrityAvailability
UnlockUnlockUnlockUnlockUnlockUnlock
UnlockUnlockUnlockUnlockUnlockUnlock
UnlockUnlockUnlockUnlockUnlockUnlock

VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

0-DayUnlockUnlockUnlockUnlock
TodayUnlockUnlockUnlockUnlock

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

10/25/2016 🔍
01/11/2017 +78 days 🔍
01/16/2017 +5 days 🔍
02/01/2017 +16 days 🔍
02/01/2017 +0 days 🔍
02/02/2017 +1 days 🔍
08/09/2020 +1284 days 🔍

Sourcesinfo

Vendor: ibm.com

Advisory: ibm.com
Status: Not defined
Confirmation: 🔍

CVE: CVE-2016-8929 (🔍)
GCVE (CVE): GCVE-0-2016-8929
GCVE (VulDB): GCVE-100-96467
SecurityFocus: 95437 - IBM Kenexa LMS on Cloud CVE-2016-8929 Unspecified SQL-Injection Vulnerability
OSVDB: - CVE-2016-8929 - IBM - Kenexa LMS on Cloud - SQL Injection Issue

See also: 🔍

Entryinfo

Created: 02/02/2017 11:57
Updated: 08/09/2020 21:30
Changes: 02/02/2017 11:57 (58), 08/09/2020 21:30 (6)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Discussion

No comments yet. Languages: en.

Please log in to comment.

◂ PreviousOverviewNext ▸

Might our Artificial Intelligence support you?

Check our Alexa App!