Cloud Run Threat Detection is a built-in service of Security Command Center that continuously monitors the state of supported Cloud Run resources to detect the most common runtime attacks. If Cloud Run Threat Detection detects an attack, it generates a finding in Security Command Center in near real-time.
Cloud Run Threat Detection runtime detectors monitor Cloud Run resources for suspicious binaries and libraries and use natural language processing (NLP) to detect malicious Bash and Python code.
In addition, control plane detectors are available through Event Threat Detection . These detectors monitor the Cloud Logging stream of your organization or projects to detect potential attacks to the control plane of your Cloud Run resources.
Supported resources
Cloud Run Threat Detection monitors the following resources:
Supported execution environments
The supported execution environments differ for runtime detectors and control plane detectors.
Supported execution environments for runtime detectors
Cloud Run Threat Detection runtime detectors support only Cloud Run resources that run on the second generation execution environment . Consider the following before enabling Cloud Run Threat Detection:
-
When you enable Cloud Run Threat Detection, you can't create a Cloud Run service or service revision that runs on the first generation execution environment. The Cloud Run service must use the second generation execution environment. We recommend that you test your workloads on the second generation execution environment before enabling Cloud Run Threat Detection.
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To enable runtime threat detection for a service, deploy a revision that sets the execution environment of the service to either the second generation or the default execution environment.
Supported execution environments for control plane detectors
The control plane detectors support both first and second generation execution environments.
How Cloud Run Threat Detection runtime threat detection works
When you enable Cloud Run Threat Detection, it collects telemetry from the supported Cloud Run resources to analyze processes, scripts, and libraries that might indicate a runtime attack. The following is the execution path when events are detected:
- Cloud Run Threat Detection uses a watcher process to collect container and event information for the complete duration of a Cloud Run workload.
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Cloud Run Threat Detection analyzes the collected event information to determine whether an event is indicative of an incident. It uses NLP to analyze Bash and Python scripts for malicious code.
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If Cloud Run Threat Detection identifies an incident, it reports the incident as a finding in Security Command Center.
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If Cloud Run Threat Detection doesn't identify an incident, no information is stored.
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All data collected is ephemeral and isn't persistently stored.
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For information about how to review Cloud Run Threat Detection findings in the Google Cloud console, see Review findings .
Known issues
- If the watcher process prematurely stops in a running instance of your Cloud Run service or job, the watcher process doesn't restart. The instance stops sending telemetry information to Cloud Run Threat Detection. Cloud Run Threat Detection logs are absent from the instance logs. There's no indicator that a watcher process has stopped.
Detectors
This section lists the runtime and control plane detectors that are available. We regularly add new detectors as new cloud threats emerge.
Runtime detectors
Cloud Run Threat Detection includes the following runtime detectors:
CLOUD_RUN_STEGANOGRAPHY_TOOL_DETECTED
A program was executed that is identified as a steganography tool commonly found in Unix-like environments, indicating a potential attempt to conceal communication or data transfer.
Attackers might utilize steganographic techniques to embed malicious command and control (C2) instructions or exfiltrated data within seemingly benign digital files, aiming to evade standard security monitoring and detection. Identifying the use of such tools is crucial for uncovering hidden malicious activity.
CLOUD_RUN_FIND_GCP_CREDENTIALS
A command was executed to search for Google Cloud private keys, passwords, or other sensitive credentials within the container environment.
An attacker could use stolen Google Cloud credentials to gain illegitimate access to sensitive data or resources within the targeted Google Cloud environment.
CLOUD_RUN_GPG_KEY_RECONNAISSANCE
A command was executed to search for GPG security keys.
An attacker could use stolen GPG security keys to gain unauthorized access to encrypted communications or files.
CLOUD_RUN_SEARCH_PRIVATE_KEYS_OR_PASSWORDS
A command was executed to search for private keys, passwords, or other sensitive credentials within the container environment, indicating a potential attempt to harvest authentication data.
Attackers often search for credential files to gain unauthorized access to systems, escalate privileges, or move laterally within the environment. Detecting such activity is critical to preventing security breaches.
CLOUD_RUN_BASE64_ELF_FILE_CMDLINE
A process was executed that contains an argument that is an ELF (Executable and Linkable Format) file.
If an encoded ELF file execution is detected, it's a signal that an attacker is trying to encode binary data for transfer to ASCII-only command lines. Attackers can use this technique to evade detection and run malicious code embedded in an ELF file.
CLOUD_RUN_BASE64_ENCODED_PYTHON_SCRIPT_EXECUTED
A process was executed that contains an argument that is a base64- encoded python script.
If an encoded python script execution is detected, it's a signal that an attacker is trying to encode binary data for transfer to ASCII-only command lines. Attackers can use this technique to evade detection and run malicious code embedded in a python script.
CLOUD_RUN_BASE64_ENCODED_SHELL_SCRIPT_EXECUTED
A process was executed that contains an argument that is a base64- encoded shell script.
If an encoded shell script execution is detected, it's a signal that an attacker is trying to encode binary data for transfer to ASCII-only command lines. Attackers can use this technique to evade detection and run malicious code embedded in a shell script.
CLOUD_RUN_LAUNCH_CODE_COMPILER_TOOL_IN_CONTAINER
A process was initiated to launch a code compiler tool within the container environment, indicating a potential attempt to build or modify executable code in an isolated context.
Attackers might use code compilers within containers to develop malicious payloads, inject code into existing binaries, or create tools to bypass security controls, all while operating in a less scrutinized environment to evade detection on the host system.
CLOUD_RUN_ADDED_MALICIOUS_BINARY_EXECUTED
A binary that meets the following conditions was executed:
- Identified as malicious based on threat intelligence
- Not part of the original container image
If an added malicious binary is executed, it's a strong sign that an attacker has control of the workload and they're executing malicious software.
CLOUD_RUN_ADDED_MALICIOUS_LIBRARY_LOADED
A library that meets the following conditions was loaded:
- Identified as malicious based on threat intelligence
- Not part of the original container image
If an added malicious library is loaded, it's a strong sign that an attacker has control of the workload and they're executing malicious software.
CLOUD_RUN_BUILT_IN_MALICIOUS_BINARY_EXECUTED
A binary that meets the following conditions was executed:
- Identified as malicious based on threat intelligence
- Included in the original container image
If a built-in malicious binary is executed, it's a sign that the attacker is deploying malicious containers. They may have gained control of a legitimate image repository or container build pipeline and injected a malicious binary into the container image.
CLOUD_RUN_CONTAINER_ESCAPE
A process was executed within the container that attempted to break out of the container's isolation, using known escape techniques or binaries. This type of attack can give the attacker access to the host system. These processes are identified as potential threats based on intelligence data.
If a container escape attempt is detected, it might indicate that an attacker is exploiting vulnerabilities to break out of the container. As a result, the attacker might gain unauthorized access to the host system or broader infrastructure, compromising the entire environment.
CLOUD_RUN_FILELESS_EXECUTION_DETECTION_MEMFD
A process was executed using an in-memory file descriptor.
If a process is launched from an in-memory file, it might indicate that an attacker is trying to bypass other methods of detection in order to execute malicious code.
CLOUD_RUN_KUBERNETES_ATTACK_TOOL_EXECUTION
A Kubernetes-specific attack tool was executed within the environment, which can indicate that an attacker is targeting Kubernetes cluster components. These attack tools are identified as potential threats based on intelligence data.
If an attack tool is executed within the Kubernetes environment, it can suggest that an attacker has gained access to the cluster and is using the tool to exploit Kubernetes-specific vulnerabilities or configurations.
CLOUD_RUN_LOCAL_RECONNAISSANCE_TOOL_EXECUTION
A local reconnaissance tool not typically associated with the container or environment was executed, suggesting an attempt to gather internal system information. These reconnaissance tools are identified as potential threats based on intelligence data.
If a reconnaissance tool is executed, it suggests that the attacker may be trying to map out the infrastructure, identify vulnerabilities, or collect data on system configurations to plan their next steps.
CLOUD_RUN_MALICIOUS_PYTHON_EXECUTED
A machine learning model identified the specified Python code as malicious. Attackers can use Python to transfer tools or other files from an external system into a compromised environment and execute commands without binaries.
The detector uses NLP techniques to evaluate the content of executed Python code. Because this approach isn't based on signatures, detectors can identify known and novel Python code.
CLOUD_RUN_MODIFIED_MALICIOUS_BINARY_EXECUTED
A binary that meets the following conditions was executed:
- Identified as malicious based on threat intelligence
- Included in the original container image
- Modified from the original container image during the runtime
If a modified malicious binary is executed, it's a strong sign that an attacker has control of the workload and they're executing malicious software.
CLOUD_RUN_MODIFIED_MALICIOUS_LIBRARY_LOADED
A library that meets the following conditions was loaded:
- Identified as malicious based on threat intelligence
- Included in the original container image
- Modified from the original container image during the runtime
If a modified malicious library is loaded, it's a strong sign that an attacker has control of the workload and they're executing malicious software.
CLOUD_RUN_NETCAT_REMOTE_CODE_EXECUTION_IN_CONTAINER
Netcat, a versatile networking utility, was executed within the container environment, potentially indicating an attempt to establish unauthorized remote access or exfiltrate data.
The use of Netcat in a containerized environment may signal an attacker's effort to create a reverse shell, enable lateral movement, or execute arbitrary commands, which could compromise system integrity.
CLOUD_RUN_POSSIBLE_ARBITRARY_COMMAND_EXECUTION_THROUGH_CUPS
This rule detects the foomatic-rip
process executing
common shell programs, which may indicate that an attacker has
exploited CVE-2024-47177. The foomatic-rip
is part of
the OpenPrinting CUPS, an open source printing service that is a part
of many Linux distributions. Most container images have this printing
service disabled or removed. If this detection exists, please evaluate
that this is intended behavior or disable the service immediately.
CLOUD_RUN_POSSIBLE_REMOTE_COMMAND_EXECUTION_DETECTED
A process was detected spawning common UNIX commands through a network socket connection, indicating a potential attempt to establish unauthorized remote command execution capabilities.
Attackers frequently utilize techniques that mimic reverse shells to gain interactive control over a compromised system, allowing them to execute arbitrary commands remotely and bypass standard network security measures like firewall restrictions. Detecting command execution over a socket is a strong indicator of malicious remote access.
CLOUD_RUN_PROGRAM_RUN_WITH_DISALLOWED_HTTP_PROXY_ENV
A program was executed with an HTTP proxy environment variable that is disallowed. This can indicate an attempt to bypass security controls, redirect traffic for malicious purposes, or exfiltrate data through unauthorized channels.
Attackers may configure disallowed HTTP proxies to intercept sensitive information, route traffic through malicious servers, or establish covert communication channels. Detecting the execution of programs with these environment variables is crucial for maintaining network security and preventing data breaches.
CLOUD_RUN_SOCAT_REVERSE_SHELL_DETECTED
The socat
command has been used to create a reverse shell.
This rule detects the execution socat
to create a reverse
shell by redirecting stdin, stdout, and stderr file descriptors. This
is a common technique used by attackers to gain remote access to a
compromised system.
CLOUD_RUN_SUSPICIOUS_OPENSSL_SHARED_OBJECT_LOADED
OpenSSL has been executed to load a custom shared object.
Attackers may load custom libraries and replace existing libraries used by OpenSSL in order to run malicious code. Its use in production is uncommon and should warrant an immediate investigation.
CLOUD_RUN_LAUNCH_REMOTE_FILE_COPY_TOOLS_IN_CONTAINER
A remote file copy tool execution was detected within the container, indicating potential data exfiltration, lateral movement, or the deployment of malicious payloads.
Attackers often use these tools to transfer sensitive data outside of the container, move laterally within the network to compromise other systems, or introduce malware for further malicious activities. Detecting the use of remote file copy tools is crucial for preventing data breaches, unauthorized access, and further compromise of the container and potentially the host system.
CLOUD_RUN_DETECT_MALICIOUS_CMDLINES
A command was executed with arguments known to be potentially destructive, such as attempts to delete critical system files or modify password-related configurations.
Attackers may issue malicious command lines to cause system instability, prevent recovery by deleting essential files, or gain unauthorized access by manipulating user credentials. Detecting these specific command patterns is critical to preventing significant system impact.
CLOUD_RUN_REMOVE_BULK_DATA_FROM_DISK
A process was detected performing bulk data deletion operations, which might indicate an attempt to erase evidence, disrupt services, or execute a data-wiping attack within the container environment.
Attackers may remove large volumes of data to cover their tracks, sabotage operations, or prepare for ransomware deployment. Detecting such activity helps in identifying potential threats before critical data loss occurs.
CLOUD_RUN_SUSPICIOUS_CRYPTO_MINING_ACTIVITY_USING_STRATUM_PROTOCOL
A process was detected communicating over the Stratum protocol, which is commonly used by cryptocurrency mining software. This activity suggests potential unauthorized mining operations within the container environment.
Attackers often deploy cryptocurrency miners to exploit system resources for financial gain, leading to degraded performance, increased operational costs, and potential security risks. Detecting such activity helps mitigate resource abuse and unauthorized access.
CLOUD_RUN_MALICIOUS_SCRIPT_EXECUTED
A machine learning model identified the specified Bash code as malicious. Attackers can use Bash to transfer tools or other files from an external system into a compromised environment and execute commands without binaries.
The detector uses NLP techniques to evaluate the content of executed Bash code. Because this approach isn't based on signatures, detectors can identify known and novel malicious Bash code.
CLOUD_RUN_MALICIOUS_URL_OBSERVED
Cloud Run Threat Detection observed a malicious URL in the argument list of a running process.
The detector checks URLs that are observed in the argument list of running processes against the lists of unsafe web resources that are maintained by the Google Safe Browsing service. If a URL is incorrectly classified as a phishing site or malware, report it at Reporting Incorrect Data .
CLOUD_RUN_ABUSE_SUDO_FOR_PRIVILEGE_ESCALATION
sudo
has been executed with arguments that attempt to
elevate privileges.
This detection notifies an attempt of the exploitation of
CVE-2019-14287, which allows privilege escalation through abusing the sudo
command. sudo
versions prior to v1.8.28
had an exploit that could elevate a non-root user's privileges to that
of a root user.
CLOUD_RUN_FILELESS_EXECUTION_DETECTION_SHM
A process has been executed from a path within /dev/shm
.
Executing a file from /dev/shm
, an attacker could execute
malicious code from this directory to evade detection by security
tools, allowing them to carry out privilege escalation or process
injection attacks.
CLOUD_RUN_POLKIT_LOCAL_PRIVILEGE_ESCALATION_VULNERABILITY
A non-root user has executed pkexec
with environment
variables that attempt to escalate privileges.
This rule detects an attempt to exploit a privilege escalation
vulnerability (CVE-2021-4034) in Polkit's pkexec
. By
running specially crafted code, a non-root user can use this flaw to
gain root privileges on a compromised system.
CLOUD_RUN_SUDO_POTENTIAL_PRIVILEGE_ESCALATION
A non-root user has executed sudo
or sudoedit
with a pattern of arguments that attempt to escalate privileges.
Detects an attempt to exploit a vulnerability affecting sudo
versions 1.9.5p2 and earlier. Executing sudo
or sudoedit
with certain arguments,
including one that ends with a single backslash character, as an
unprivileged user can elevate the user's privileges to that of a root
user.
CLOUD_RUN_REVERSE_SHELL
A process started with stream redirection to a remote connected
socket. The detector looks for stdin
bound to a remote
socket.
With a reverse shell, an attacker can communicate from a compromised workload to an attacker-controlled machine. The attacker can then command and control the workload—for example, as part of a botnet.
CLOUD_RUN_UNEXPECTED_CHILD_SHELL
A process that does not normally invoke shells spawned a shell process.
The detector monitors all process executions. When a shell is invoked, the detector generates a finding if the parent process is known to not typically invoke shells.
Control plane detectors
The following control plane detectors are available through Event Threat Detection. These detectors are enabled by default. You manage these detectors the same way you do other Event Threat Detection detectors. For more information, see Use Event Threat Detection .
| Display name | API name | Log source types | Description |
|---|---|---|---|
|
Impact: Cryptomining Commands
|
CLOUD_RUN_JOBS_CRYPTOMINING_COMMANDS
|
Cloud Audit Logs
: IAM System Event audit logs |
Specific cryptomining commands were attached to a Cloud Run job during execution. Findings are classified as Highseverity by default. |
|
Execution: Cryptomining Docker Image
|
CLOUD_RUN_CRYPTOMINING_DOCKER_IMAGES
|
Cloud Audit Logs
: IAM System Event audit logs |
Specific known bad docker images were attached to a new or existing Cloud Run service or job. Findings are classified as Highseverity by default. |
|
Privilege Escalation: Default Compute Engine Service Account SetIAMPolicy
|
CLOUD_RUN_SERVICES_SET_IAM_POLICY
|
Cloud Audit Logs
: Admin Activity logs |
The default Compute Engine service account was used to set the IAM policy for a Cloud Run service. This is a potential post exploit action when a Compute Engine token is compromised from a serverless service. Findings are classified as Lowseverity by default. |
What's next
- Learn how to use Cloud Run Threat Detection .
- Learn how to use Event Threat Detection .
- Learn how to respond to Cloud Run threat findings .
- Refer to the Threat findings index .

