Extract DPAPI-protected secrets such as credentials and browser data offline and online.
日本語の概要は準備中です。原文の説明を表示しています。
Detect unauthorized modifications to running containers by monitoring for binary execution drift, file system changes, and configuration deviations from the original container image.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Container drift occurs when running containers deviate from their original image state through unauthorized file modifications, unexpected binary execution, configuration changes, or package installations. Since containers should be treated as immutable infrastructure, any drift is a potential indicator of compromise. Detection techniques leverage the DIE (Detect, Isolate, Evict) model -- an immutable workload should not change during runtime, so any observed change is potentially evidence of malicious activity.
Image-Based Comparison: Compare the running container's filesystem against its source image to identify added, modified, or removed files.
Behavioral Monitoring: Use eBPF or kernel-level monitoring to detect process execution, file access, and network activity that deviates from expected behavior.
Digest Verification: Continuously verify that running container image digests match the approved deployment manifests.
- rule: Drift Detected (Container Image Modified Binary)
desc: Detect execution of a binary not present in the original container image
condition: >
spawned_process and
container and
not proc.pname in (container_entrypoint) and
proc.is_exe_upper_layer = true
output: >
Drift detected: new binary executed in container
(user=%user.name command=%proc.cmdline container=%container.name
image=%container.image.repository:%container.image.tag
exe_path=%proc.exepath)
priority: WARNING
tags: [container, drift]
- rule: Container Shell Spawned
desc: Detect interactive shell in a container that should be immutable
condition: >
spawned_process and
container and
proc.name in (bash, sh, dash, zsh, csh, ksh) and
not proc.pname in (container_entrypoint)
output: >
Shell spawned in container (user=%user.name shell=%proc.name
container=%container.name image=%container.image.repository)
priority: WARNING
tags: [container, drift, shell]
- rule: Package Manager Execution in Container
desc: Detect use of package managers indicating drift
condition: >
spawned_process and
container and
proc.name in (apt, apt-get, yum, dnf, apk, pip, pip3, npm, gem, cargo)
output: >
Package manager executed in container (user=%user.name
command=%proc.cmdline container=%container.name
image=%container.image.repository)
priority: ERROR
tags: [container, drift, package-manager]
- rule: Container File System Write
desc: Detect writes to container upper layer filesystem
condition: >
open_write and
container and
fd.typechar = 'f' and
not fd.name startswith /tmp and
not fd.name startswith /var/log and
not fd.name startswith /proc
output: >
File write in container (user=%user.name file=%fd.name
container=%container.name)
priority: NOTICE
tags: [container, drift, filesystem]
Prevent drift by making container filesystems immutable:
apiVersion: apps/v1
kind: Deployment
metadata:
name: immutable-app
spec:
template:
spec:
containers:
- name: app
image: app:v1.0@sha256:abc123...
securityContext:
readOnlyRootFilesystem: true
allowPrivilegeEscalation: false
runAsNonRoot: true
volumeMounts:
- name: tmp
mountPath: /tmp
- name: cache
mountPath: /var/cache
volumes:
- name: tmp
emptyDir:
sizeLimit: 100Mi
- name: cache
emptyDir:
sizeLimit: 50Mi
apiVersion: v1
kind: Namespace
metadata:
name: production
labels:
pod-security.kubernetes.io/enforce: restricted
pod-security.kubernetes.io/audit: restricted
pod-security.kubernetes.io/warn: restricted
#!/bin/bash
# Compare running container digests against approved manifest
NAMESPACE="production"
kubectl get pods -n "$NAMESPACE" -o json | jq -r '
.items[] |
.spec.containers[] |
"\(.image) \(.imageID)"
' | while read IMAGE IMAGE_ID; do
APPROVED_DIGEST=$(kubectl get deploy -n "$NAMESPACE" -o json | \
jq -r ".items[].spec.template.spec.containers[] | select(.image==\"$IMAGE\") | .image")
if [[ "$IMAGE" != *"@sha256:"* ]]; then
echo "[WARN] Container using mutable tag: $IMAGE"
fi
done
For Azure Kubernetes environments, Microsoft Defender provides built-in binary drift detection:
{
"alertType": "K8S.NODE_ImageBinaryDrift",
"severity": "Medium",
"description": "Binary executed that was not part of the original container image",
"remediationSteps": [
"Investigate the binary origin and purpose",
"Check if the container was compromised",
"Rebuild the container from a clean image",
"Enable readOnlyRootFilesystem"
]
}
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Extract DPAPI-protected secrets such as credentials and browser data offline and online.
日本語の概要は準備中です。原文の説明を表示しています。
Audit, detect, and remediate Shadow Credentials misconfigurations on msDS-KeyCredentialLink in Active Directory. Focuses on access-controls, monitoring Event ID 5136, and credential-management hygiene.
日本語の概要は準備中です。原文の説明を表示しています。
Prepare a defense-contractor environment for CMMC Level 2 certification: scope CUI and FCI, implement the 110 NIST SP 800-171 Rev 2 security requirements across 14 families, compute the SPRS score with the DoD Assessment Methodology, manage a compliant POA&M, and ready the organization for a C3PAO assessment. Use when an organization handles Controlled Unclassified Information (CUI) under a DoD contract, when a contract carries DFARS clause 252.204-7012/7019/7020/7021, when preparing for or responding to a CMMC assessment, when computing or improving an SPRS score, when building a System Security Plan or POA&M for 800-171, or when scoping which systems are in the CUI boundary. Keywords: CMMC, CMMC Level 2, NIST 800-171, SP 800-171 Rev 2, CUI, FCI, SPRS, DFARS 7012, C3PAO, POA&M, System Security Plan, DoD Assessment Methodology, 110 controls, defense industrial base, DIB, FedRAMP equivalency.
日本語の概要は準備中です。原文の説明を表示しています。
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
日本語の概要は準備中です。原文の説明を表示しています。
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
日本語の概要は準備中です。原文の説明を表示しています。