Schneider Electric Ampla MES 6.4 Database Credentials 7pk security
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.0 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Schneider Electric Ampla MES 6.4. It has been rated as critical. The impacted element is an unknown function of the component Database Handler. The manipulation leads to 7pk security (Credentials). This vulnerability is documented as CVE-2017-9637. The attack needs to be performed locally. There is not any exploit available.
Details
A vulnerability was found in Schneider Electric Ampla MES 6.4. It has been rated as problematic. This issue affects an unknown function of the component Database Handler. The manipulation with an unknown input leads to a 7pk security vulnerability (Credentials). Using CWE to declare the problem leads to CWE-254. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
Schneider Electric Ampla MES 6.4 provides capability to interact with data from third party databases. When connectivity to those databases is configured to use a SQL user name and password, an attacker may be able to sniff details from the connection string. Schneider Electric recommends that users of Ampla MES versions 6.4 and prior should upgrade to Ampla MES version 6.5 as soon as possible.
The bug was discovered 07/06/2017. The weakness was released 05/18/2018 (Website). It is possible to read the advisory at software.schneider-electric.com. The identification of this vulnerability is CVE-2017-9637 since 06/14/2017. Attacking locally is a requirement. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1211 according to MITRE ATT&CK.
The vulnerability was handled as a non-public zero-day exploit for at least 316 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.
The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 99469†). Entry connected to this vulnerability is available at VDB-117970. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.0VulDB Meta Temp Score: 4.0
VulDB Base Score: 3.9
VulDB Temp Score: 3.9
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 4.1
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
Name: CredentialsClass: 7pk security / Credentials
CWE: CWE-254
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
06/14/2017 🔍07/06/2017 🔍
05/18/2018 🔍
05/18/2018 🔍
05/18/2018 🔍
02/07/2020 🔍
Sources
Vendor: schneider-electric.comAdvisory: software.schneider-electric.com
Status: Not defined
Confirmation: 🔍
CVE: CVE-2017-9637 (🔍)
GCVE (CVE): GCVE-0-2017-9637
GCVE (VulDB): GCVE-100-117971
SecurityFocus: 99469
See also: 🔍
Entry
Created: 05/18/2018 22:03Updated: 02/07/2020 10:40
Changes: 05/18/2018 22:03 (60), 02/07/2020 10:40 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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