Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:HCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2023-6248 is a critical-severity Code Injection (CWE-94) vulnerability in Digitalcomtech Syrus 4G Iot Telematics Gateway Firmware. Its CVSS base score is 10.0 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Network Sniffing (T1040); ranked in the top 32% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-58493
Vulnerability Data
The Syrus4 IoT gateway utilizes an unsecured MQTT server to download and execute arbitrary commands, allowing a remote unauthenticated attacker to execute code on any Syrus4 device connected to the cloud service. The MQTT server also leaks the location, video…
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and diagnostic data from each connected device. An attacker who knows the IP address of the server is able to connect and perform the following operations: * Get location data of the vehicle the device is connected to * Send CAN bus messages via the ECU module ( https://syrus.digitalcomtech.com/docs/ecu-1 https://syrus.digitalcomtech.com/docs/ecu-1 ) * Immobilize the vehicle via the safe-immobilizer module ( https://syrus.digitalcomtech.com/docs/system-tools#safe-immobilization https://syrus.digitalcomtech.com/docs/system-tools#safe-immobilization ) * Get live video through the connected video camera * Send audio messages to the driver ( https://syrus.digitalcomtech.com/docs/system-tools#apx-tts https://syrus.digitalcomtech.com/docs/system-tools#apx-tts )
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.1
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Wireless link protection (encryption, directional transmission, etc.) directly prevents unauthorized actors from observing transmitted data.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Training on authentication mechanisms and best practices decreases the occurrence of improper authentication.
Session auditing enables detection of unauthorized exposure or access to sensitive information during user activities.
Audit record review and analysis can detect unauthorized exposure or access to sensitive information.
Mandating documentation of security requirements for exchanges includes specifying and enforcing authentication mechanisms between systems.
Penetration testing probes authentication mechanisms for bypasses, allowing identification and fixing of improper authentication issues.
A data action map identifies locations where sensitive information may be exposed to unauthorized actors during processing or transfer.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
PR.PS-06's SDLC practices directly target injection flaws via secure coding and testing (mostly), yet as a single broad outcome it leaves many code-generation specifics unaddressed (partial).
Encryption of data-in-transit directly prevents cleartext transmission while the control also addresses integrity and availability.
PR.DS-10 protects runtime data confidentiality/integrity but has no bearing on neutralizing externally influenced input during code generation, so neither direction shows any preventive effect.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
A.5.10 only requires awareness, a topic-specific acceptable-use policy stating expected behaviours/monitoring, and procedures referencing classification and other controls; per the owner's explicit rule on labelling and similar dependency-style clauses, this does not itself prevent exposure (CWE-200) unless access/DLP/etc. act on it.
Requiring the return of all physical and electronic assets plus secure deletion of organizational data from personal devices reduces the chance that sensitive information remains accessible to departing personnel.
A.5.12 only defines and communicates a classification scheme so that protection needs can be understood; per the owner's explicit rule, labeling/classification does not itself prevent exposure and requires other controls (e.g. access enforcement) to act on it.
By requiring classification labels and metadata on all information assets, the control makes it harder for sensitive data to be inadvertently exposed because downstream systems and users can recognize and enforce handling rules based on those labels.
Hardening callouts derived
DISA STIG baselines are authored against specific weaknesses. Where this CVE cites a broad weakness class, the mapping is not asserted at that abstraction (owner ruling, 2026-09-25: grade only at Base and below), so no rule is shown here rather than a rule shown against the wrong grain.