Oracle Automatic Service Request up to 5.6 ASR Manager access control
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.5 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in Oracle Automatic Service Request up to 5.6. This vulnerability affects unknown code of the component ASR Manager. The manipulation leads to access control. This vulnerability is referenced as CVE-2017-3581. The attack can only be performed from a local environment. No exploit is available. You should upgrade the affected component.
Details
A vulnerability, which was classified as critical, has been found in Oracle Automatic Service Request up to 5.6. This issue affects some unknown functionality of the component ASR Manager. The manipulation with an unknown input leads to a access control vulnerability. Using CWE to declare the problem leads to CWE-284. The product does not restrict or incorrectly restricts access to a resource from an unauthorized actor. Impacted is confidentiality, integrity, and availability.
The bug was discovered 04/18/2017. The weakness was published 04/19/2017 with salesforce.com as Oracle Critical Patch Update Advisory - April 2017 as confirmed advisory (Website). It is possible to read the advisory at oracle.com. The identification of this vulnerability is CVE-2017-3581 since 12/06/2016. Attacking locally is a requirement. A simple authentication is required for exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1068 according to MITRE ATT&CK.
The commercial vulnerability scanner Qualys is able to test this issue with plugin 370411 (Oracle Support Tools Automatic Service Request Multiple Security Vulnerabilities).
Upgrading eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability.
The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 97802†). Similar entries are available at VDB-95628, VDB-95669, VDB-95670 and VDB-95704. 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: 7.8VulDB Meta Temp Score: 7.7
VulDB Base Score: 7.8
VulDB Temp Score: 7.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
Vendor Base Score (Oracle): 7.8
Vendor Vector (Oracle): 🔍
NVD Base Score: 7.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Access controlCWE: CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: No
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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| Today | Unlock | Unlock | Unlock | Unlock |
Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Timeline
12/06/2016 🔍04/18/2017 🔍
04/18/2017 🔍
04/19/2017 🔍
04/19/2017 🔍
04/19/2017 🔍
04/24/2017 🔍
12/20/2020 🔍
Sources
Vendor: oracle.comAdvisory: Oracle Critical Patch Update Advisory - April 2017
Researcher: Peter Kostiuk
Organization: salesforce.com
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2017-3581 (🔍)
GCVE (CVE): GCVE-0-2017-3581
GCVE (VulDB): GCVE-100-100235
SecurityFocus: 97802 - Oracle Automatic Service Request CVE-2017-3581 Local Security Vulnerability
OSVDB: - CVE-2017-3581 - Oracle - Support Tools - Unspecified Issue
See also: 🔍
Entry
Created: 04/19/2017 19:11Updated: 12/20/2020 20:56
Changes: 04/19/2017 19:11 (72), 09/15/2020 09:27 (7), 12/20/2020 20:54 (2), 12/20/2020 20:56 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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