VDB-96468 · CVE-2016-8930 · BID 95449

IBM Kenexa LMS on Cloud sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.9$5k-$25k0.00

Summaryinfo

A vulnerability categorized as critical has been discovered in IBM Kenexa LMS on Cloud. This impacts an unknown function. The manipulation results in sql injection. This vulnerability was named CVE-2016-8930. The attack may be performed from remote. There is no available exploit.

Detailsinfo

A vulnerability was found in IBM Kenexa LMS on Cloud (Cloud Software) (affected version unknown). It has been classified as critical. Affected is an unknown functionality. The manipulation with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. CVE summarizes:

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 presented 02/01/2017 (Website). The advisory is shared for download at ibm.com. This vulnerability is traded as CVE-2016-8930 since 10/25/2016. The exploitability is told to be easy. It is possible to launch the attack remotely. The successful exploitation needs a authentication. There are neither technical details nor an exploit publicly available. The current price for an exploit might be approx. USD $5k-$25k (estimation calculated on 08/09/2020). It is expected to see the exploit prices for this product increasing in the near future.The MITRE ATT&CK project declares the attack technique as T1505.

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 95449†). See VDB-96405, VDB-96407, VDB-96408 and VDB-96409 for similar entries. Once again VulDB remains the best source for vulnerability data.

Productinfo

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Name

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.9
VulDB Meta Temp Score: 6.9

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

NVD Base Score: 7.6
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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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: 🔍

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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-2016-8930 (🔍)
GCVE (CVE): GCVE-0-2016-8930
GCVE (VulDB): GCVE-100-96468
SecurityFocus: 95449 - IBM Kenexa LMS on Cloud CVE-2016-8930 Unspecified SQL-Injection Vulnerability
OSVDB: - CVE-2016-8930 - IBM - Kenexa LMS on Cloud - SQL Injection Issue

See also: 🔍

Entryinfo

Created: 02/02/2017 11:57
Updated: 08/09/2020 21:36
Changes: 02/02/2017 11:57 (58), 08/09/2020 21:36 (6)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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