| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.7 | $0-$5k | 0.00 |
Summary
A vulnerability was found in IBM Workload Scheduler 9.3.0.4. It has been classified as problematic. Affected by this vulnerability is an unknown functionality of the component Web UI. Performing a manipulation results in cross site scripting. This vulnerability is identified as CVE-2020-4380. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability was found in IBM Workload Scheduler 9.3.0.4. It has been classified as problematic. This affects an unknown code block of the component Web UI. The manipulation with an unknown input leads to a cross site scripting vulnerability. CWE is classifying the issue as CWE-80. The product receives input from an upstream component, but it does not neutralize or incorrectly neutralizes special characters such as "<", ">", and "&" that could be interpreted as web-scripting elements when they are sent to a downstream component that processes web pages. This is going to have an impact on integrity. The summary by CVE is:
IBM Workload Scheduler 9.3.0.4 is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 179160.
The weakness was released 06/11/2020 (Website). It is possible to read the advisory at exchange.xforce.ibmcloud.com. This vulnerability is uniquely identified as CVE-2020-4380 since 12/30/2019. It is possible to initiate the attack remotely. The requirement for exploitation is a authentication. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 06/12/2020). It is expected to see the exploit prices for this product increasing in the near future.The attack technique deployed by this issue is T1059.007 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.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
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: 4.7VulDB Meta Temp Score: 4.7
VulDB Base Score: 4.1
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.4
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: 🔍
Exploiting
Class: Cross site scriptingCWE: CWE-80 / 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
12/30/2019 🔍06/11/2020 🔍
06/12/2020 🔍
10/24/2020 🔍
Sources
Vendor: ibm.comAdvisory: exchange.xforce.ibmcloud.com
Status: Not defined
Confirmation: 🔍
CVE: CVE-2020-4380 (🔍)
GCVE (CVE): GCVE-0-2020-4380
GCVE (VulDB): GCVE-100-156651
X-Force: 179160
Entry
Created: 06/12/2020 10:33Updated: 10/24/2020 11:31
Changes: 06/12/2020 10:33 (39), 06/12/2020 10:38 (11), 10/24/2020 11:28 (1), 10/24/2020 11:31 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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