| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.1 | $5k-$25k | 0.00 |
Summary
A vulnerability classified as critical has been found in IBM Cloud Pak System 2.3/2.3.0.1. Impacted is an unknown function of the component File Upload. This manipulation causes code injection. This vulnerability is registered as CVE-2019-4130. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability was found in IBM Cloud Pak System 2.3/2.3.0.1 (Cloud Software). It has been declared as critical. Affected by this vulnerability is some unknown processing of the component File Upload. The manipulation with an unknown input leads to a code injection vulnerability. The CWE definition for the vulnerability is CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
IBM Cloud Pak System 2.3 and 2.3.0.1 could allow a remote attacker to upload arbitrary files, which could allow the attacker to execute arbitrary code on the vulnerable server. IBM X-Force ID: 158280.
The weakness was published 12/03/2019 (Website). It is possible to read the advisory at exchange.xforce.ibmcloud.com. This vulnerability is known as CVE-2019-4130 since 01/03/2019. The attack can be launched remotely. Required for exploitation is a single authentication. 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 03/07/2024). It is expected to see the exploit prices for this product increasing in the near future.The attack technique deployed by this issue is T1059 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Similar entries are available at VDB-146636, VDB-146637, VDB-146638 and VDB-146639. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.ibm.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.1VulDB Meta Temp Score: 8.1
VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.0
NVD Vector: 🔍
CNA Base Score: 9.0
CNA Vector (IBM Corporation): 🔍
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: Code injectionCWE: CWE-94 / CWE-74 / CWE-707
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 |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
01/03/2019 🔍12/03/2019 🔍
12/04/2019 🔍
03/07/2024 🔍
Sources
Vendor: ibm.comAdvisory: exchange.xforce.ibmcloud.com
Status: Not defined
Confirmation: 🔍
CVE: CVE-2019-4130 (🔍)
GCVE (CVE): GCVE-0-2019-4130
GCVE (VulDB): GCVE-100-146635
X-Force: 158280
See also: 🔍
Entry
Created: 12/04/2019 10:51Updated: 03/07/2024 08:26
Changes: 12/04/2019 10:51 (40), 12/04/2019 10:56 (12), 03/07/2024 08:24 (2), 03/07/2024 08:26 (19)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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