| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.5 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in F5 BIG-IP up to 15.0.1.1. The affected element is an unknown function of the component iRule Handler. Performing a manipulation results in privileges management. This vulnerability is identified as CVE-2019-6685. The attack is only possible with local access. There is not any exploit available.
Details
A vulnerability classified as critical has been found in F5 BIG-IP up to 15.0.1.1 (Firewall Software). This affects some unknown functionality of the component iRule Handler. The manipulation with an unknown input leads to a privileges management vulnerability. CWE is classifying the issue as CWE-269. The product does not properly assign, modify, track, or check privileges for an actor, creating an unintended sphere of control for that actor. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
On BIG-IP versions 15.0.0-15.0.1.1, 14.1.0-14.1.2.2, 14.0.0-14.0.1, 13.1.0-13.1.3.1, 12.1.0-12.1.5, and 11.5.2-11.6.5.1, users with access to edit iRules are able to create iRules which can lead to an elevation of privilege, configuration modification, and arbitrary system command execution.
The weakness was released 12/23/2019 (Website). The advisory is shared at support.f5.com. This vulnerability is uniquely identified as CVE-2019-6685 since 01/22/2019. An attack has to be approached locally. A authentication is required for exploitation. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 12/24/2019). MITRE ATT&CK project uses the attack technique T1068 for this issue.
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-147682, VDB-147680 and VDB-147677. Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Type
Vendor
Name
Version
- 11.6.5.0
- 11.6.5.1
- 12.1.0
- 12.1.1
- 12.1.2
- 12.1.3
- 12.1.4
- 12.1.5
- 13.1.3.0
- 13.1.3.1
- 14.0.0
- 14.0.1
- 14.1.2.0
- 14.1.2.1
- 14.1.2.2
- 15.0.1.0
- 15.0.1.1
License
Website
- Vendor: https://f5.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.5VulDB Meta Temp Score: 6.5
VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.8
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: 🔍
NVD Base Score: 🔍
Exploiting
Class: Privileges managementCWE: CWE-269 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: No
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
01/22/2019 🔍12/23/2019 🔍
12/24/2019 🔍
03/16/2024 🔍
Sources
Vendor: f5.comAdvisory: K30215839
Status: Not defined
CVE: CVE-2019-6685 (🔍)
GCVE (CVE): GCVE-0-2019-6685
GCVE (VulDB): GCVE-100-147681
See also: 🔍
Entry
Created: 12/24/2019 10:48Updated: 03/16/2024 16:18
Changes: 12/24/2019 10:48 (38), 12/24/2019 10:53 (18), 03/16/2024 16:18 (3)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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