Oracle Agile Engineering Data Management 6.1.3/6.2.0/6.2.1 Install 7pk security
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.2 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in Oracle Agile Engineering Data Management 6.1.3/6.2.0/6.2.1. The impacted element is an unknown function of the component Install. The manipulation leads to 7pk security. This vulnerability is listed as CVE-2017-5664. The attack may be initiated remotely. There is no available exploit. You should upgrade the affected component.
Details
A vulnerability was found in Oracle Agile Engineering Data Management 6.1.3/6.2.0/6.2.1 and classified as critical. This issue affects some unknown functionality of the component Install. The manipulation with an unknown input leads to a 7pk security vulnerability. Using CWE to declare the problem leads to CWE-254. Impacted is integrity.
The bug was discovered 06/06/2017. The weakness was presented 01/18/2018 as Oracle Critical Patch Update Advisory - January 2018 as confirmed advisory (Website). It is possible to read the advisory at oracle.com. The identification of this vulnerability is CVE-2017-5664 since 01/29/2017. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1211 according to MITRE ATT&CK.
The vulnerability scanner Nessus provides a plugin with the ID 101661 (Fedora 26 : 1:tomcat (2017-794c18b62d)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Fedora Local Security Checks and running in the context l. The commercial vulnerability scanner Qualys is able to test this issue with plugin 157497 (Oracle Enterprise Linux Security Update for tomcat (ELSA-2017-1809)).
Upgrading eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability.
The vulnerability is also documented in the databases at Tenable (101661) and SecurityFocus (BID 98888†). See VDB-21337, VDB-63776, VDB-90671 and VDB-96545 for similar entries. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
- Vendor: https://www.oracle.com
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.5VulDB Meta Temp Score: 7.4
VulDB Base Score: 7.5
VulDB Temp Score: 7.2
VulDB Vector: 🔍
VulDB Reliability: 🔍
Vendor Base Score (Oracle): 7.5
Vendor Vector (Oracle): 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
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Exploiting
Class: 7pk securityCWE: CWE-254
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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Nessus ID: 101661
Nessus Name: Fedora 26 : 1:tomcat (2017-794c18b62d)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍
OpenVAS ID: 800277
OpenVAS Name: Apache Tomcat Security Bypass Vulnerability (Windows)
OpenVAS File: 🔍
OpenVAS Family: 🔍
Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Timeline
01/29/2017 🔍06/06/2017 🔍
06/06/2017 🔍
06/06/2017 🔍
07/17/2017 🔍
01/18/2018 🔍
01/18/2018 🔍
01/18/2018 🔍
02/01/2021 🔍
Sources
Vendor: oracle.comAdvisory: Oracle Critical Patch Update Advisory - January 2018
Researcher: Aniket Nandkishor Kulkarni
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2017-5664 (🔍)
GCVE (CVE): GCVE-0-2017-5664
GCVE (VulDB): GCVE-100-112163
OVAL: 🔍
SecurityFocus: 98888 - Apache Tomcat CVE-2017-5664 Security Bypass Vulnerability
SecurityTracker: 1038641
See also: 🔍
Entry
Created: 01/18/2018 09:43Updated: 02/01/2021 00:28
Changes: 01/18/2018 09:43 (88), 12/26/2019 09:23 (1), 02/01/2021 00:22 (4), 02/01/2021 00:28 (1)
Complete: 🔍
Cache ID: 216:351:103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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