Oracle Agile PLM Framework 37689 Web Services server-side request forgery
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.4 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in Oracle Agile PLM Framework 37689. This vulnerability affects unknown code of the component Web Services. This manipulation causes server-side request forgery. This vulnerability is tracked as CVE-2019-0227. The attack is only possible within the local network. Moreover, an exploit is present. It is recommended to upgrade the affected component.
Details
A vulnerability classified as critical was found in Oracle Agile PLM Framework 37689 (Product Lifecycle Management Software). Affected by this vulnerability is some unknown processing of the component Web Services. The manipulation with an unknown input leads to a server-side request forgery vulnerability. The CWE definition for the vulnerability is CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. As an impact it is known to affect 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 known as CVE-2019-0227. The exploitation appears to be difficult. Access to the local network is required for this attack to succeed. The exploitation doesn't need any form of authentication. Technical details are unknown but a public exploit is available.
It is possible to download the exploit at packetstormsecurity.com. It is declared as proof-of-concept. We expect the 0-day to have been worth approximately $5k-$25k.
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 Exploit-DB (46682). The entries VDB-134291, VDB-143650, VDB-143570 and VDB-143724 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
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: 7.2
VulDB Base Score: 7.5
VulDB Temp Score: 6.7
VulDB Vector: 🔍
VulDB Reliability: 🔍
Vendor Base Score (Oracle): 7.5
Vendor Vector (Oracle): 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Server-side request forgeryCWE: CWE-918
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Partially
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Exploit-DB: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Timeline
11/14/2018 🔍01/15/2020 🔍
01/15/2020 🔍
01/16/2020 🔍
04/24/2025 🔍
Sources
Vendor: oracle.comAdvisory: Oracle Critical Patch Update Advisory - January 2020
Status: Confirmed
CVE: CVE-2019-0227 (🔍)
GCVE (CVE): GCVE-0-2019-0227
GCVE (VulDB): GCVE-100-148987
scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍
Entry
Created: 01/16/2020 08:10Updated: 04/24/2025 19:14
Changes: 01/16/2020 08:10 (52), 01/16/2020 09:02 (16), 03/24/2024 06:31 (19), 06/21/2024 22:00 (1), 06/26/2024 12:20 (9), 04/24/2025 19:14 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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