Image analysis sandbox
The image analysis sandbox lets you dynamically analyze the runtime behaviour of images before running them in your development and production environments.
The analysis mechanism collects and displays container behaviours by safely exercising the image in a sandbox machine. It also exposes risks and identifies suspicious dependencies buried deep in your software supply chain that would otherwise be missed by static analysis for vulnerabilities and compliance issues.
Running the analysis is supported for Linux images on Docker container runtime.
Setup the sandbox machine
In order to run a sandbox analysis for an image, you first need to set up a dedicated sandbox virtual machine.
- The sandbox machine should have connectivity to Prisma Cloud Compute Console.
- The machine must be a Linux VM.
- Docker should be installed on the machine.
When setting up the VM, follow the guidelines below to make sure potential malware doesn’t exploit your sandbox:
- Make sure that the kernel is up to date.
- Make sure that Docker and Runc are up to date.
- Make sure all the software components on the machine are up to date (to make sure there is no other vulnerable component on the machine).
- The VM should be as isolated as possible. Run the VM in a dedicated network, separate from production. If other services run alongside the sandbox VM in the same local network, set up firewall rules to ensure the sandbox VM cannot reach them.
- If the VM runs in the cloud, it shouldn’t run with any service account.
It is recommended to avoid running a Defender on the same machine used as the sandbox VM. Running a Defender on this machine might cause the image that is being analyzed in the sandbox to also be presented under
Monitor > Vulnerabilities/Compliance > Images > Deployed imagesas an image running in the environment.
Running the sandbox command
Triggering a sandbox analysis is done by executing the twistcli sandbox command on an image. After the command is triggered, Prisma Cloud’s sandbox mechanism runs the container, and starts tracing its behaviour. The events occuring on the running container are collected, and are later being analyzed to discover suspicious behaviours.
The usage of the twistcli sandbox command is very similar to running a container image using docker:
$ twistcli sandbox [OPTIONS] IMAGE [COMMAND] [ARG...]
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$ twistcli sandbox --address https://<console-address>:8083 --token 'your-api-token' --analysis-duration 2m -v "$PWD":/app python:3 python3 /app/server.py
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The entrypoint and arguments should be specified after the image. If an entrypoint isn’t specified, the default entrypoint of the image will be used.
- Required. URL for Console, including the protocol and port. Only the HTTPS protocol is supported. To get the address for your Console, go toCompute > Manage > System > Utilities, and copy the string underPath to Console.Example: --address https://us-west1.cloud.twistlock.com/us-3-123456789
Access Key ID and Secret Key are generated from the Prisma Cloud user interface. For more information, see access keys
- The duration of the analysis in a Go duration string format. The default duration is 1 minute. Adjust the duration according to your image. A longer duration may allow detecting more behaviours.Example: --analysis-duration 2m30sThe analysis duration can be shorter than the duration you specified, if the container exits before the analysis time ends.When WildFire integration is enabled, the analysis duration can be longer than specified, since the communication with WildFire may take longer than the analysis duration. When the specified duration is met, Prisma Cloud stops the container, so no more events are collected, but is waiting for WildFire verdict to publish the results.
- A src:dst pair to mount a volume to the running container. Repeat flag for each mount.Any volume that is shared with the sandbox will be accessible to a potential malware exists on the container. Therefore, carefully consider the usage of volumes.
When an exit code of 0 is returned, meaning the analysis completed successfully, check the analysis data to determine the verdict for the image.
Sandbox analysis results
- Exits with a return value.
- Outputs a summary of the results, including a verdict.
- Outputs a link to the results report in the Console UI.
The results report in the Console UI includes the analysis summary and verdict, a list of suspicious detections found on the image, and the entire container behaviour events occurred during container runtime.
The analysis summary contains the following main parts:
- Verdict - whether the image passed or failed the analysis.The criteria for passing or failing the sandbox analysis is determined by the severity of the suspicious findings detected during the analysis. The Analysis verdict is "Failed" when there is at least one finding with Critical or High severity. Otherwise, the verdict is "Passed".
- Highest severity - the severity of the most severe suspicious finding.
- Suspicious findings count - the number of suspicious findings detected.
- Analysis metadate - analysis time, duration, and the container entrypoint.
- Image details - the details of the analyzed image.The image details also include an indication of an additional scan that may have been performed on the image. If the image was scanned for vulnerabilities and compliance as a part of the CI process, registry scanning, or as a deployed image, it will be displayed in theAdditional scanfield. You will also be able to click on its value to see the scan results. Only the furthest stage is reported in the following order: CI → Registry → Deployed.
The sandbox analysis mechanism detects the following suspicious behaviours:
Malware detected by WildFire.
Detecting malware using WildFire requires the WildFire integration to be enabled. Go to
Manage > System > WildFireand turn on the "Enable runtime protection" toggle. You can also choose to upload files with unknown verdicts to WildFire using the matching toggle.
Crypto miner was detected.
Suspicious ELF headers
ELF file with a suspicious header was detected. The binary is either incompatible with the system architecture or the ELF header was manipulated to hinder analysis. For ELF header tampering, Prisma Cloud identifies overlapping headers, deleted headers, and improperly specified section sizes as suspicious.
Vertical port scanning
Vertical port scanner was detected.
Kernel module modifiction
Kernel module was being loaded or unloaded.
A binary that wasn’t included in the original image (dropped on disk) was executed.
A process modified a binary.
Modified binary execution
Execution of a binary that was included in the original image but has been modified.
Execution from a memory file descriptor was detected.
Fileless executable creation
An executable was written into a memory file descriptor.
A new executable file created on the disk.
The sandbox analysis mechanism collects Processes, Networking, and Filesystem events that occurred while the container was running in the sandbox. The events are displayed in the Console UI analysis report, in order to provide you with an overview of the container behaviour at runtime.
There are two display modes for viewing the container behaviour events:
- By Type - the events are aggregated by the main event properties, to give you an overview of which process run on the container, what were the network destinations it was trying to reach, what are its listening ports, etc. For example, if a process was running three times, only a single row will appear for this process, with the common properties only (MD5), and without the properties that are changing between events (command, parent process, etc).
- By Time - all the events are presented ordered by the time they occurred. For example, if a process was running three times, three rows with the same process will appear, with different time, and with all the event details for each one of them (command, parent process, etc).
For container filesystem, Prisma Cloud collects Open, Create, and Modify file events.
There are three event types collected for container networking:
- Listening port
- Outbound connection
- DNS query
All three types are presented together under the
Networkingtab, but each has its own properties.
Outbound connection events are also displayed on a world map according to the country matching their IP. Clicking on a connection event will mark it on the map. Hovering a country on the map will show you how many connections were detected for this country.
View sandbox results on image details
When reviewing image details, you can look at its latest sandbox analysis results in a dedicated section. The
Anaysis sandboxsection contains an analysis summary, including the verdict and the suspicious findings counts by type. Click on the link at the top to move to the full report page.
Add to trust group
After reviewing the analysis results of an image, you can decide whether you trust this image to run in your development and production environments. Optionally, you can add the image repository to a single or multiple trust groups using the
Add to trust groupaction. This way it is possible for you to get notified or block images that are not trusted. See Trusted Images to learn more.
Export to JSON file
To export the analysis results, use the
Export to JSONaction at the top of the page. This action will download a file in a JSON format with the analysis results for the image.
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