| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.4 | $5k-$25k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in Siemens WinAC RTX 2010. Affected is an unknown function. This manipulation as part of HTTP Request causes improper authentication. The identification of this vulnerability is CVE-2019-13921. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability has been found in Siemens WinAC RTX 2010 and classified as problematic. Affected by this vulnerability is an unknown code. The manipulation as part of a HTTP Request leads to a improper authentication vulnerability. The CWE definition for the vulnerability is CWE-287. When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. As an impact it is known to affect availability. The summary by CVE is:
A vulnerability has been identified in SIMATIC WinAC RTX (F) 2010 (All versions). Affected versions of the software contain a vulnerability that could allow an unauthenticated attacker to trigger a denial-of-service condition. The vulnerability can be triggered if a large HTTP request is sent to the executing service. The security vulnerability could be exploited by an attacker with network access to the affected systems. Successful exploitation requires no system privileges and no user interaction. An attacker could use the vulnerability to compromise availability of the service provided by the software. At the time of advisory publication no public exploitation of this security vulnerability was known.
The weakness was shared 10/10/2019 (Website). The advisory is shared at cert-portal.siemens.com. This vulnerability is known as CVE-2019-13921 since 07/18/2019. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 01/07/2024).
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Vendor
Name
Version
License
Website
- Vendor: https://www.siemens.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.4VulDB Meta Temp Score: 6.4
VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
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: Improper authenticationCWE: CWE-287
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
07/18/2019 🔍10/10/2019 🔍
10/11/2019 🔍
01/07/2024 🔍
Sources
Vendor: siemens.comAdvisory: ssa-878278
Status: Not defined
CVE: CVE-2019-13921 (🔍)
GCVE (CVE): GCVE-0-2019-13921
GCVE (VulDB): GCVE-100-143329
Entry
Created: 10/11/2019 09:29Updated: 01/07/2024 16:21
Changes: 10/11/2019 09:29 (37), 10/01/2020 09:47 (17), 01/07/2024 16:21 (3)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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