Oracle Financial Services Retail Customer Analytics 8.0.4/8.0.5/8.0.6 jQuery deserialization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 9.7 | $5k-$25k | 0.00 |
Summary
A vulnerability marked as very critical has been reported in Oracle Financial Services Retail Customer Analytics 8.0.4/8.0.5/8.0.6. Affected is an unknown function of the component jQuery. The manipulation leads to deserialization. This vulnerability is traded as CVE-2018-19362. It is possible to initiate the attack remotely. There is no exploit available. It is suggested to upgrade the affected component.
Details
A vulnerability was found in Oracle Financial Services Retail Customer Analytics 8.0.4/8.0.5/8.0.6 (Financial Software) and classified as very critical. This issue affects an unknown code of the component jQuery. The manipulation with an unknown input leads to a deserialization vulnerability. Using CWE to declare the problem leads to CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
FasterXML jackson-databind 2.x before 2.9.8 might allow attackers to have unspecified impact by leveraging failure to block the jboss-common-core class from polymorphic deserialization.
The bug was discovered 11/18/2018. The weakness was shared 07/16/2019 as Oracle Critical Patch Update Advisory - Juli 2019 as confirmed advisory (Website). It is possible to read the advisory at oracle.com. The identification of this vulnerability is CVE-2018-19362 since 11/19/2018. 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 pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 08/14/2024).
The vulnerability was handled as a non-public zero-day exploit for at least 45 days. During that time the estimated underground price was around $25k-$100k. The commercial vulnerability scanner Qualys is able to test this issue with plugin 176909 (Debian Security Update for jackson-databind (DSA 4452-1)).
Upgrading eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability.
The entries VDB-128623, VDB-128624, VDB-128625 and VDB-133586 are related to this item. 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: 9.8VulDB Meta Temp Score: 9.7
VulDB Base Score: 9.8
VulDB Temp Score: 9.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
Vendor Base Score (Oracle): 9.8
Vendor Vector (Oracle): 🔍
NVD Base Score: 9.8
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: DeserializationCWE: CWE-502 / CWE-20
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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| 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: 🔍
Patch: github.com
Timeline
11/18/2018 🔍11/19/2018 🔍
01/02/2019 🔍
07/16/2019 🔍
07/16/2019 🔍
07/17/2019 🔍
08/14/2024 🔍
Sources
Vendor: oracle.comAdvisory: Oracle Critical Patch Update Advisory - Juli 2019
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2018-19362 (🔍)
GCVE (CVE): GCVE-0-2018-19362
GCVE (VulDB): GCVE-100-137939
SecurityFocus: 107985
See also: 🔍
Entry
Created: 07/17/2019 10:46Updated: 08/14/2024 10:07
Changes: 07/17/2019 10:46 (69), 07/05/2020 15:28 (5), 10/30/2023 07:10 (5), 08/14/2024 10:07 (16)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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