Security readout for executives and security teams
Siemens SICLOCK TC100 and TC400 store client configuration passwords unencrypted and transmit them without encryption. An attacker already in a privileged position could obtain those passwords and use them to access protected functions. The bundle lists all versions as affected but does not provide CVSS scoring or confirmed exploitation. Exposure is most relevant in environments using Siemens SICLOCK TC100 or TC400 for time synchronization, especially where configuration files, backups, or management traffic are accessible to administrators, operators, vendors, or compromised internal systems. Treat this as an operational technology credential exposure risk. Prioritize environments where SICLOCK devices support production, safety, or regulated operations. Urgency depends on deployment and network access because the bundle does not provide severity scoring or exploitation evidence. Mitigation focus: Review Siemens SSA-197012 for official fixes or workarounds.; Inventory SICLOCK TC100 and TC400 devices and client software.; Restrict management network access to trusted administrative systems..
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Conservative CVE-to-ATT&CK context
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ATT&CK lookup starting points
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Open ATT&CK lookupCVE-2018-4855 mapping review
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Open ATT&CK lookup- Severity
- Unknown
- CVSS
- Not scored
- Known Exploited
- No
- Published
CNA and ADP enrichment extracted from CVE v5
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CVSS and timeline data
No CVSS vectors or timeline events were available in the normalized CVE source material.
Source materials
- CVE List V5 sourceCVE List V5
- https://cert-portal.siemens.com/productcert/pdf/ssa-197012.pdfCVE reference · x_refsource_CONFIRM
Products and packages named in the record
CWE details
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
Missing Encryption of Sensitive Data
Missing Encryption of Sensitive Data represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.