BitLocker Dump Filter

Certificate details

Certificate ID #5409
Status active
Validation dates 31.08.2026
Sunset date 30-08-2031
Standard FIPS 140-3
Security level 1
Type Software-Hybrid
Embodiment MultiChipStand
Caveat When installed, initialized and configured as specified in Section 11.1 of the Security Policy. When operated in approved mode with module Code Integrity validated to FIPS 140-3 under Cert. #5406 operating in approved mode or Secure Kernel Code Integrity validated to FIPS 140-3 under Cert. #5407 operating in approved mode. No assurance of minimum security of SSPs (e.g., keys, bit strings) that are externally loaded, or of SSPs established with externally loaded SSPs
Exceptions
  • Non-invasive security: N/A
Description The BitLocker Dump Filter module is a multi-chip standalone software-hybrid cryptographic module that protects crash dump files on BitLocker-encrypted computers. The module is part of the system dump stack. When the dump stack is called during a crash, the module ensures that all data is encrypted before being written to storage as a dump file.
Vendor Microsoft Corporation
References

This certificate's webpage directly references 2 certificates, transitively this expands into 5 certificates.
Webpage

Security policy

Extracted keywords

Symmetric Algorithms
AES, AES-, CAST
Hash functions
SHA2
Protocols
TLS
Randomness
RBG
Block cipher modes
XTS

Trusted Execution Environments
PSP
Vendor
Microsoft Corporation, Microsoft

Security level
level 1, Level 1

Cross-references

Outgoing
  • 5406 - active - Code Integrity
  • 5407 - active - Secure Kernel Code Integrity
Author Robert Durff
Creation date D:20260825084044-04'00'
Modification date D:20260825084044-04'00'
Pages 34
Creator Microsoft® Word for Microsoft 365
Producer Microsoft® Word for Microsoft 365

Automated analysis

Automated inference - use with caution

All attributes shown in this section (e.g., links between certificates, products, vendors, and known CVEs) are generated by automated heuristics and have not been reviewed by humans. These methods can produce false positives or false negatives and should not be treated as definitive without independent verification. This applies equally to the Cross-references section below. If you want to know more about how this data is computed and how reliable it is, see our documentation on automated analysis. If you believe any information here is inaccurate or harmful, please submit feedback.

No automatically derived data are available in this section.

Cross-references

Processing updates

  • The certificate was first processed.

Raw data

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