Siemens SPPA-T3000 Application Server RMI improper authentication
| 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 SPPA-T3000 Application Server. This impacts an unknown function of the component RMI. Performing a manipulation results in improper authentication. This vulnerability was named CVE-2019-18318. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability classified as problematic has been found in Siemens SPPA-T3000 Application Server (Application Server Software) (the affected version is unknown). This affects an unknown code of the component RMI. The manipulation with an unknown input leads to a improper authentication vulnerability. CWE is classifying the issue as CWE-287. When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. This is going to have an impact on availability. The summary by CVE is:
A vulnerability has been identified in SPPA-T3000 Application Server (All versions). An attacker with network access to the Application Server can cause a Denial-of-Service condition by sending specifically crafted objects via RMI. This vulnerability is independent from CVE-2019-18317 and CVE-2019-18319. Please note that an attacker needs to have network access to the Application Server in order to exploit this vulnerability. At the time of advisory publication no public exploitation of this security vulnerability was known.
The weakness was presented 12/12/2019. This vulnerability is uniquely identified as CVE-2019-18318 since 10/23/2019. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. 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 03/11/2024).
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
See VDB-147125, VDB-147124, VDB-147122 and VDB-147121 for similar entries. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
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
10/23/2019 🔍12/12/2019 🔍
12/13/2019 🔍
03/11/2024 🔍
Sources
Vendor: siemens.comAdvisory: ssa-451445
Status: Not defined
CVE: CVE-2019-18318 (🔍)
GCVE (CVE): GCVE-0-2019-18318
GCVE (VulDB): GCVE-100-147123
See also: 🔍
Entry
Created: 12/13/2019 08:22Updated: 03/11/2024 12:15
Changes: 12/13/2019 08:22 (35), 12/13/2019 08:27 (18), 03/11/2024 12:15 (4)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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