Satel Iberia SenNet Optimal DataLogger command injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.2 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in Satel Iberia SenNet Optimal DataLogger, SenNet Solar Datalogger and SenNet Multitask Meter. This affects an unknown part. Performing a manipulation results in command injection. This vulnerability is cataloged as CVE-2017-6048. It is possible to initiate the attack remotely. There is no exploit available. It is recommended to upgrade the affected component.
Details
A vulnerability was found in Satel Iberia SenNet Optimal DataLogger, SenNet Solar Datalogger and SenNet Multitask Meter (Log Management Software) (version now known). It has been classified as critical. This affects some unknown processing. The manipulation with an unknown input leads to a command injection vulnerability. CWE is classifying the issue as CWE-77. The product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended command when it is sent to a downstream component. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
A Command Injection issue was discovered in Satel Iberia SenNet Data Logger and Electricity Meters: SenNet Optimal DataLogger V5.37c-1.43c and prior, SenNet Solar Datalogger V5.03-1.56a and prior, and SenNet Multitask Meter V5.21a-1.18b and prior. Successful exploitation of this vulnerability could result in the attacker breaking out of the jailed shell and gaining full access to the system.
The bug was discovered 05/11/2017. The weakness was shared 05/19/2017 (Website). It is possible to read the advisory at ics-cert.us-cert.gov. This vulnerability is uniquely identified as CVE-2017-6048 since 02/16/2017. It is possible to initiate the attack remotely. Required for exploitation is a authentication. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1202 according to MITRE ATT&CK.
It is declared as highly functional. The vulnerability was handled as a non-public zero-day exploit for at least 7 days. During that time the estimated underground price was around $0-$5k.
Upgrading eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.6VulDB Meta Temp Score: 7.4
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Command injectionCWE: CWE-77 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Highly functional
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
MetaSploit ID: satel_cmd_exec.rb
MetaSploit Name: Lantronix Telnet Service Banner Detection
MetaSploit File: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Timeline
02/16/2017 🔍05/11/2017 🔍
05/18/2017 🔍
05/19/2017 🔍
05/19/2017 🔍
09/30/2020 🔍
Sources
Advisory: ics-cert.us-cert.govStatus: Not defined
CVE: CVE-2017-6048 (🔍)
GCVE (CVE): GCVE-0-2017-6048
GCVE (VulDB): GCVE-100-101499
OSVDB: - CVE-2017-6048 - Satel-Iberia - Sennet Multitask Meter - High
Entry
Created: 05/19/2017 14:07Updated: 09/30/2020 12:38
Changes: 05/19/2017 14:07 (59), 09/30/2020 12:38 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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