Oracle Retail Clearance Optimization Engine 14.0.5 Dataset authorization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.7 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in Oracle Retail Clearance Optimization Engine 14.0.5. The impacted element is an unknown function of the component Dataset Component. Performing a manipulation results in authorization. This vulnerability is reported as CVE-2018-1258. The attack is possible to be carried out remotely. No exploit exists. It is advisable to upgrade the affected component.
Details
A vulnerability was found in Oracle Retail Clearance Optimization Engine 14.0.5. It has been classified as critical. This affects an unknown functionality of the component Dataset Component. The manipulation with an unknown input leads to a authorization vulnerability. CWE is classifying the issue as CWE-863. The product performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. This allows attackers to bypass intended access restrictions. This is going to have an impact on confidentiality, integrity, and availability.
The weakness was disclosed 01/15/2020 as Oracle Critical Patch Update Advisory - January 2020 as confirmed advisory (Website). It is possible to read the advisory at oracle.com. This vulnerability is uniquely identified as CVE-2018-1258. It is possible to initiate the attack remotely. The successful exploitation needs a authentication. The technical details are unknown and an exploit is not publicly available.
The commercial vulnerability scanner Qualys is able to test this issue with plugin 87385 (Oracle WebLogic Server Multiple Vulnerabilities (CPUAPR2019)).
Upgrading eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability.
The entries VDB-117636, VDB-125489, VDB-125435 and VDB-125436 are pretty similar. 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: 8.8VulDB Meta Temp Score: 8.7
VulDB Base Score: 8.8
VulDB Temp Score: 8.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
Vendor Base Score (Oracle): 8.8
Vendor Vector (Oracle): 🔍
NVD Base Score: 8.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: AuthorizationCWE: CWE-863 / CWE-285 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| 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
12/06/2017 🔍01/15/2020 🔍
01/15/2020 🔍
01/16/2020 🔍
08/12/2024 🔍
Sources
Vendor: oracle.comAdvisory: Oracle Critical Patch Update Advisory - January 2020
Status: Confirmed
CVE: CVE-2018-1258 (🔍)
GCVE (CVE): GCVE-0-2018-1258
GCVE (VulDB): GCVE-100-148947
SecurityFocus: 104222
SecurityTracker: 1041888
See also: 🔍
Entry
Created: 01/16/2020 08:10Updated: 08/12/2024 18:43
Changes: 01/16/2020 08:10 (52), 01/16/2020 09:02 (15), 03/23/2024 16:37 (21), 08/12/2024 18:43 (2)
Complete: 🔍
Cache ID: 216:7AB:103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
No comments yet. Languages: en.
Please log in to comment.