Yokogawa STARDOM Controller up to R4.10 hard-coded credentials
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.8 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in Yokogawa STARDOM Controller up to R4.10. This affects an unknown part. This manipulation causes hard-coded credentials. This vulnerability is handled as CVE-2018-17896. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability classified as critical was found in Yokogawa STARDOM Controller up to R4.10. Affected by this vulnerability is some unknown functionality. The manipulation with an unknown input leads to a hard-coded credentials vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
Yokogawa STARDOM Controllers FCJ, FCN-100, FCN-RTU, FCN-500, All versions R4.10 and prior, The affected controllers utilize hard-coded credentials which may allow an attacker gain unauthorized access to the maintenance functions and obtain or modify information. This attack can be executed only during maintenance work.
The bug was discovered 05/31/2018. The weakness was released 10/12/2018 (Website). The advisory is shared at web-material3.yokogawa.com. This vulnerability is known as CVE-2018-17896 since 10/02/2018. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1110.001 for this issue.
The vulnerability was handled as a non-public zero-day exploit for at least 134 days. During that time the estimated underground price was around $0-$5k.
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-125282, VDB-125283 and VDB-125284. Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.8VulDB Meta Temp Score: 6.8
VulDB Base Score: 5.6
VulDB Temp Score: 5.6
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.1
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: Hard-coded credentialsCWE: CWE-798 / CWE-259 / 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
05/31/2018 🔍10/02/2018 🔍
10/12/2018 🔍
10/12/2018 🔍
10/12/2018 🔍
04/02/2020 🔍
Sources
Advisory: web-material3.yokogawa.comStatus: Not defined
Confirmation: 🔍
CVE: CVE-2018-17896 (🔍)
GCVE (CVE): GCVE-0-2018-17896
GCVE (VulDB): GCVE-100-125281
See also: 🔍
Entry
Created: 10/12/2018 18:36Updated: 04/02/2020 09:10
Changes: 10/12/2018 18:36 (57), 04/02/2020 09:10 (2)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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