| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.3 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in IBM QRadar up to 7.3.3 Patch 2. The impacted element is an unknown function. Performing a manipulation results in hard-coded credentials. This vulnerability is identified as CVE-2020-4269. The attack can be initiated remotely. Additionally, an exploit exists.
Details
A vulnerability, which was classified as critical, was found in IBM QRadar up to 7.3.3 Patch 2 (Log Management Software). This affects some unknown processing. The manipulation with an unknown input leads to a hard-coded credentials vulnerability. CWE is classifying the issue as CWE-798. The product contains hard-coded credentials, such as a password or cryptographic key, which it uses for its own inbound authentication, outbound communication to external components, or encryption of internal data. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
IBM QRadar 7.3.0 to 7.3.3 Patch 2 contains hard-coded credentials, such as a password or cryptographic key, which it uses for its own inbound authentication, outbound communication to external components, or encryption of internal data. IBM X-ForceID: 175845.
The weakness was released 04/15/2020 (Website). It is possible to read the advisory at exchange.xforce.ibmcloud.com. This vulnerability is uniquely identified as CVE-2020-4269 since 12/30/2019. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details are unknown but a public exploit is available. The attack technique deployed by this issue is T1110.001 according to MITRE ATT&CK.
The exploit is shared for download at packetstormsecurity.com. It is declared as proof-of-concept.
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-153835, VDB-153834, VDB-153833 and VDB-153832. Be aware that VulDB is the high quality source 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: 7.4VulDB Meta Temp Score: 7.3
VulDB Base Score: 7.3
VulDB Temp Score: 6.9
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
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: Hard-coded credentialsCWE: CWE-798 / CWE-259 / CWE-255
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
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 |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
12/30/2019 🔍04/15/2020 🔍
04/16/2020 🔍
06/13/2024 🔍
Sources
Vendor: ibm.comAdvisory: 157328
Status: Not defined
Confirmation: 🔍
CVE: CVE-2020-4269 (🔍)
GCVE (CVE): GCVE-0-2020-4269
GCVE (VulDB): GCVE-100-153831
X-Force: 175845
scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍
Entry
Created: 04/16/2020 14:28Updated: 06/13/2024 11:58
Changes: 04/16/2020 14:28 (39), 04/16/2020 14:33 (12), 05/27/2024 12:33 (17), 05/27/2024 12:41 (17), 06/13/2024 11:58 (11)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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