VDB-115499 · CVE-2018-8953 · BID 103742

CA Workload Automation AE up to r11.3.5/r11.3.6 SP6 sql injection

CVSS Meta Temp Score
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CTI Interest Score
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7.2$0-$5k0.00

Summaryinfo

A vulnerability classified as critical has been found in CA Workload Automation AE up to r11.3.5/r11.3.6 SP6. Affected is an unknown function. The manipulation leads to sql injection. This vulnerability is traded as CVE-2018-8953. It is possible to initiate the attack remotely. There is no exploit available. To fix this issue, it is recommended to deploy a patch.

Detailsinfo

A vulnerability, which was classified as critical, has been found in CA Workload Automation AE up to r11.3.5/r11.3.6 SP6 (Automation Software). This issue affects some unknown processing. 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:

CA Workload Automation AE before r11.3.6 SP7 allows remote attackers to a perform SQL injection via a crafted HTTP request.

The bug was discovered 03/29/2018. The weakness was shared 03/29/2018 as CA20180329-01: Security Notice for CA Workload Automation AE and CA Workload Control Center as confirmed advisory (Website). It is possible to read the advisory at support.ca.com. The identification of this vulnerability is CVE-2018-8953 since 03/23/2018. The attack may be initiated remotely. Required for exploitation is a simple authentication. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

Applying the patch 11.4 SP6/RO99200 is able to eliminate this problem. A possible mitigation has been published immediately after the disclosure of the vulnerability.

The vulnerability is also documented in the databases at SecurityFocus (BID 103742†) and SecurityTracker (ID 1040605†). The entry VDB-115500 is related to this item. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.4

VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.8
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: Patch
Status: 🔍

Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍

Patch: 11.4 SP6/RO99200

Timelineinfo

03/23/2018 🔍
03/29/2018 +6 days 🔍
03/29/2018 +0 days 🔍
03/29/2018 +0 days 🔍
03/29/2018 +0 days 🔍
03/30/2018 +1 days 🔍
04/01/2018 +2 days 🔍
04/11/2018 +10 days 🔍
01/20/2020 +649 days 🔍

Sourcesinfo

Vendor: ca.com

Advisory: CA20180329-01: Security Notice for CA Workload Automation AE and CA Workload Control Center
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2018-8953 (🔍)
GCVE (CVE): GCVE-0-2018-8953
GCVE (VulDB): GCVE-100-115499
SecurityFocus: 103742 - CA Workload Automation AE and Workload Control Center Multiple Security Vulnerabilities
SecurityTracker: 1040605

See also: 🔍

Entryinfo

Created: 04/01/2018 18:46
Updated: 01/20/2020 08:08
Changes: 04/01/2018 18:46 (67), 01/20/2020 08:08 (5)
Complete: 🔍
Cache ID: 216::103

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

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