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Workload 0x034d14edeef3d37aac01539fd189fccc39f02fc3af8a8453cc7fbcf8c3b085d6

Overall status: verified.

Download provenance bundle (.tar)

Source info

TDX measurements

MRTD0xc1ee9c16e3afc506cfe042c5b846a368528f3b37618eafb27469bc114cf914e9222c91618470e7f2b28ac360968270a5
RTMR00xb87ca0be65abc7c1c5f113366cea51c160b75dcb0483b139f624ac78e65015172e08079d418d4934ac81a03c3d7c48b5
RTMR10x8a6e57cb499ea5f9f296b7ae573818868766c68f95d7a0dcadeddbef3c16d20045582e7763376dd6f9326bfefcb07dad
RTMR20x58049549ddbb7271e151240199ffe5034d1eb02f011bb0fbb784d3b651a358e360f465048f6f4ed70d5b9dde460ca554
RTMR30x0b1eff5b14cec5a90e1a68c2ae17c56d2869bcc1bac039746cfdeaa4f74466d87c1dac4fb2011a04f870904792a7df72
MRCONFIGID0x000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
XFAM0xe702060000000000
TD attributes0x0000001000000000

Measured workload inputs

These exact files are inputs to the TDX measurement calculation for this workload.

Docker container images and source

Base VM source

ritual-net/ritual-images@15e49161fda395af43a1f998804c4ff460569b2b · OS build instructions referenced by the platform profile

Platform profile

This workload records the opaque ID of the authority-accepted platform profile required to verify it.

pp_c79ff45c-564a-4546-bd55-98e17741b1e7
Download platform-profile bundle (.tar)

Detailed verification checks

Follow the links from the workload ID to its measurements, images, and source code. Expand a check to see what it establishes and inspect the supporting evidence.

Provenance record

The provenance manifest is the central index for this workload. It records the expected TDX measurements, the locator and digest of each verification artifact, and the repository and commit for relevant source code. A verifier uses these references to obtain each available artifact, confirm that its bytes match the recorded digest, and supply the verified artifact to the corresponding verification check.

Download provenance manifest (JSON)

1. Start with an on-chain workload ID

You select the workload ID. This report does not check its current on-chain capability assignment.

Workload ID being checked: 0x034d14edeef3d37aac01539fd189fccc39f02fc3af8a8453cc7fbcf8c3b085d6

2. Look up the TDX measurements

Check the provenance record and confirm that its eight measurement values produce the selected workload ID.

3. Reproduce the OS + Docker → TDX measurements

Use the verified prebuilt OS image, Docker images, Docker configuration, and TDX boot profile to recompute the eight TDX values. Compare each value with the expected measurements from step 2.

Verify the prebuilt OS image

This check links the published OS artifact to its recorded source repository, commit, and build instructions. The service hashes the build instructions and OS artifact, compares them with the provenance manifest, and confirms that the recorded source and artifact values match an immutable platform-profile bundle selected from the service-owned accepted-profile registry. The workload record names the selected profile’s opaque ID; the registry binds that ID to the exact archive. Each check below links the exact files and source used, so you can inspect them or repeat the comparisons.

For GCP/mkosi, the provider profile is accepted in a separate offline phase, where the service rebuilds the recorded ritual-images source commit and confirms that the rebuilt guest disk matches the published image.

Verify the Docker workload configuration used in the TDX measurements

This check links the Docker workload inputs to the TDX measurements that commit to them. The service checks the exact measured configuration against its manifest digest, extracts its digest-pinned container images, and confirms that the image list exactly matches the Docker images declared in the manifest. This means the GitHub attestations in step 4 cover the container images committed to the TDX measurements. The provider-specific details below explain which configuration is measured and how it contributes to the TDX values.

For GCP/mkosi, the measured configuration is the exact labeled byte stream containing the environment file followed by the Docker Compose file. Here, we are validating the connection between docker images -> full configuration, which can then be connected to the RTMR3 value. The service publishes the measured byte stream and both component files so you can inspect the exact inputs or repeat the calculation.

Verify the TDX boot profile

The TDX boot profile is the provider-specific recipe that combines the selected VM image with the cloud platform’s firmware, virtual-machine configuration, VMM behavior, and TDX launch settings to reproduce the boot-related measurements. This check links the boot-related TDX measurements back to the boot profile that produced them. The service verifies the supplied artifacts against the provenance manifest and requires the provider-specific profile values to match an accepted provider profile.

For GCP/mkosi, the accepted boot profile connects MRTD to the exact Google OVMF firmware and machine topology. It also supplies the calibration baseline used with the OS image’s UKI and GPT disk layout to calculate an expected RTMR1. The workload CCEL separately records the boot events observed for RTMR0, RTMR1, and RTMR2. The complete-tuple procedure below performs both calculations and requires the two RTMR1 values to match. A different cloud provider, machine type, or firmware version requires a different accepted boot profile.

Google OVMF firmware + machine topology        → MRTD inputs
workload CCEL                                   → observed RTMR0, RTMR1, RTMR2
OS image UKI + GPT layout + accepted baseline   → expected RTMR1
offline-approved VMM launch configuration       → MRCONFIGID, XFAM, TDATTRIBUTES

Reproduce TDX measurements

With the OS image, Docker configuration, and TDX boot profile established above, this section runs the provider-specific measurement procedure that ties them together. We use pinned binaries that calculate the resulting TDX measurements without needing to run a TDX machine, and link to their source code.

verified OS image + Docker configuration + TDX boot profile
                              ↓
                   pinned measurement tool
                              ↓
              recomputed eight-field TDX tuple
                              ↓
          canonical output digest matches manifest

For GCP/mkosi, the pinned cvm-measure implementation and Ritual adapter calculate MRTD from the endorsed firmware and machine topology, replay RTMR0, RTMR1, and RTMR2 from the workload CCEL, independently cross-check RTMR1 against the exact UKI and GPT disk layout, and extend RTMR3 with the SHA-384 digest of the Docker configuration.

All eight values match?

4. Verify each GitHub attestation

Does each exact container image connect to the claimed source code and build workflow?

5. (Optional) Rebuild the OS image

An independent OS rebuild is an offline step for the user. Matching the recorded OS to an approved profile in step 3 does not mean this request rebuilt it.

6. (Optional) Source audit and capability review

Reviewing whether the source is safe and appropriate for its capability is a human judgment. This report does not perform that audit.

All verification files

This appendix lists every verification input. Retained files and directly addressable external references are linked.

InputLocator
OS build instructionsevidence/base-build-definition
OS imagehttps://storage.googleapis.com/mkosi-executor-images/ritual-container-pr22-prod-15e49161fda3-36905200928.tar.gz
Docker configurationcdi-mkosi-measured-configuration.bin
Measurement tool build instructionshttps://raw.githubusercontent.com/cohere-ai/cvm-measure/7c2e57fd546f5f25056376e936adccf498e9ef81/pyproject.toml
Measured environmentcdi-mkosi-environment
Measured Docker Compose filecdi-mkosi-compose.yml
Platform firmwarehttps://storage.googleapis.com/gce_tcb_integrity/ovmf_x64_csm/53c558fe06714203d7428484c46ee7c0b9df748a9789e173421c28d097115b30efb8476304617532488ab40c3122db88.fd
Calibration baselineevidence/baseline
Calibration boot event logevidence/calibration-ccel
Workload boot event logcdi-mkosi-ccel.bin
GCP TDX machine profilecdi-mkosi-machine-profile.json
claw-spawner — Docker image metadatadocker.io/ritualnetwork/claw-spawner:d2e4bd3-amd64@sha256:22bbc5d991e34c9f278223cc83c1351dd48c2529354c4ba7789662229e7d2e5e
docker-socket-proxy — Docker image metadatadocker.io/ritualnetwork/docker-socket-proxy:v0.4.2-2f04313-d2e4bd3-amd64@sha256:3bff20a073dd73cdd80ebdec3c55244a460b097fcfd00eab98515d5df6d10568
executor-go — Docker image metadatadocker.io/ritualnetwork/executor-go:3a52ac9-3e29c37-amd64@sha256:e29995be8b50da1df7d611c7ce416137906a01287d240f6760ec27e328a0224b
hermes-instance — Docker image metadatadocker.io/ritualnetwork/hermes-instance:30eff89-d2e4bd3-amd64@sha256:82c4d4957698f139221c21fce2f6e91148ead2b5f63ffab54ca53644c702d063
openclaw-instance — Docker image metadatadocker.io/ritualnetwork/openclaw-instance:d2e4bd3-amd64@sha256:0e2080147396485588789c99e479f720430778a102a16e353e9ca87d3efc1600
ritual-pii — Docker image metadatadocker.io/ritualnetwork/ritual-pii:3a52ac9-3e29c37-amd64@sha256:b1c226fc469dc1e7305d8c1835c58fc70fc7a89c459c435dd8fde98266092e87
sovereign-agent — Docker image metadatadocker.io/ritualnetwork/sovereign-agent:d2e4bd3-amd64@sha256:e557f1301e8cc2785bff436604300cef1576f510226ca64b918eb54a79e03ec7
zeroclaw-instance — Docker image metadatadocker.io/ritualnetwork/zeroclaw-instance:502b5f2-d2e4bd3-amd64@sha256:435b210f1a4b198f834bfa4fe2954941550bdc88ce245fba893d0cb016cc889d