Oracle Times Ten In Memory Database 7.0.3.0.0 Remote Code Execution
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.9 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Oracle Times Ten In Memory Database 7.0.3.0.0 and classified as critical. Impacted is an unknown function. The manipulation leads to Remote Code Execution. This vulnerability is referenced as CVE-2008-2597. Furthermore, an exploit is available.
Details
A vulnerability was found in Oracle Times Ten In Memory Database 7.0.3.0.0. It has been rated as critical. This issue affects an unknown part. The manipulation with an unknown input leads to a remote code execution vulnerability. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
Unspecified vulnerability in the TimesTen Client/Server component in Oracle Times Ten In-Memory Database 7.0.3.0.0 has unknown impact and remote attack vectors, a different vulnerability than CVE-2008-2598 and CVE-2008-2599.
The bug was discovered 07/15/2008. The weakness was published 07/15/2008 by Esteban Martinez Fayo (Alexander) with Application Security, Inc. (Website). It is possible to read the advisory at vupen.com. The identification of this vulnerability is CVE-2008-2597 since 06/09/2008. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details are unknown but a public exploit is available.
A public exploit has been developed in Python. The exploit is available at securityfocus.com. It is declared as proof-of-concept. We expect the 0-day to have been worth approximately $25k-$100k. The commercial vulnerability scanner Qualys is able to test this issue with plugin 19532 (Oracle TimesTen July 2008 Security Update For Multiple Vulnerabilities).
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product. Furthermore it is possible to detect and prevent this kind of attack with TippingPoint and the filter 8735.
The vulnerability is also documented in the databases at X-Force (43798), SecurityFocus (BID 30177†), OSVDB (47724†), Secunia (SA31087†) and SecurityTracker (ID 1020493†). Similar entries are available at VDB-43268, VDB-43259, VDB-43258 and VDB-43257. 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: 7.3VulDB Meta Temp Score: 6.9
VulDB Base Score: 7.3
VulDB Temp Score: 6.9
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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Exploiting
Class: Remote Code ExecutionCWE: Unknown
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Programming Language: 🔍
Download: 🔍
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Qualys ID: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
TippingPoint: 🔍
Timeline
06/09/2008 🔍07/10/2008 🔍
07/15/2008 🔍
07/15/2008 🔍
07/15/2008 🔍
07/15/2008 🔍
07/15/2008 🔍
07/20/2008 🔍
03/17/2015 🔍
08/14/2019 🔍
Sources
Vendor: oracle.comAdvisory: vupen.com⛔
Researcher: Esteban Martinez Fayo (Alexander)
Organization: Application Security, Inc.
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2008-2597 (🔍)
GCVE (CVE): GCVE-0-2008-2597
GCVE (VulDB): GCVE-100-43235
X-Force: 43798
SecurityFocus: 30177 - Oracle July 2008 Critical Patch Update Multiple Vulnerabilities
Secunia: 31087
OSVDB: 47724 - CVE-2008-2597 - Oracle - TimesTen In-Memory Database - Unspecified Issue
SecurityTracker: 1020493
Vulnerability Center: 18858 - [cpujul2008-090335] Oracle Times Ten In-Memory Database Client/Server Component Allows Remote Attackers to Cause DoS, Medium
Vupen: ADV-2008-2109
scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍
Entry
Created: 03/17/2015 12:19Updated: 08/14/2019 16:35
Changes: 03/17/2015 12:19 (56), 08/14/2019 16:35 (19)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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