IBM Robotic Process Automation with Automation Anywhere Account Lockout credentials management
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.6 | $5k-$25k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in IBM Robotic Process Automation with Automation Anywhere 11. Impacted is an unknown function of the component Account Lockout. This manipulation causes credentials management. This vulnerability is handled as CVE-2019-4336. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability was found in IBM Robotic Process Automation with Automation Anywhere 11 (Automation Software). It has been declared as problematic. Affected by this vulnerability is an unknown functionality of the component Account Lockout. The manipulation with an unknown input leads to a credentials management vulnerability. The CWE definition for the vulnerability is CWE-255. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
IBM Robotic Process Automation with Automation Anywhere 11 uses an inadequate account lockout setting that could allow a remote attacker to brute force account credentials. IBM X-Force ID: 161411.
The weakness was released 07/01/2019 (Website). It is possible to read the advisory at exchange.xforce.ibmcloud.com. This vulnerability is known as CVE-2019-4336 since 01/03/2019. The exploitation appears to be difficult. The attack can be launched remotely. The exploitation doesn't need any form of 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 10/15/2023). It is expected to see the exploit prices for this product increasing in the near future.The attack technique deployed by this issue is T1552 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.
Entries connected to this vulnerability are available at VDB-137132, VDB-137129, VDB-137128 and VDB-137127. 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: 7.6VulDB Meta Temp Score: 7.6
VulDB Base Score: 5.6
VulDB Temp Score: 5.6
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CNA Base Score: 7.5
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: Credentials managementCWE: CWE-255
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 🔍07/01/2019 🔍
07/01/2019 🔍
10/15/2023 🔍
Sources
Vendor: ibm.comAdvisory: exchange.xforce.ibmcloud.com
Status: Not defined
Confirmation: 🔍
CVE: CVE-2019-4336 (🔍)
GCVE (CVE): GCVE-0-2019-4336
GCVE (VulDB): GCVE-100-137131
X-Force: 161411
See also: 🔍
Entry
Created: 07/01/2019 20:04Updated: 10/15/2023 08:07
Changes: 07/01/2019 20:04 (41), 06/29/2020 15:48 (18), 10/15/2023 08:02 (3), 10/15/2023 08:07 (12)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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