Results for “abuselpdb”

Investigates insider threat incidents involving employees, contractors, or trusted partners who misuse authorized access to steal data, sabotage systems, or violate security policies. Combines digital forensics, user behavior analytics, and HR/legal coordination to build an evidence-based case.

Detect abuse of legitimate Windows binaries (LOLBins) used for living off the land attacks by monitoring process creation, command-line arguments, and parent-child relationships.

Enumerate and exploit Active Directory Certificate Services ESC1 through ESC16 misconfigurations with Certipy, including SAN abuse, NTLM relay to web enrollment (ESC8), and golden certificate forgery.

Hunt for adversary abuse of Living Off the Land Binaries (LOLBins) by analyzing endpoint process creation logs for suspicious execution patterns of legitimate Windows system binaries used for malicious purposes.

Audit Azure Blob and ADLS storage accounts for public access exposure, weak or long-lived SAS tokens, missing encryption at rest, disabled HTTPS-only traffic, and outdated TLS versions using the azure-mgmt-storage Python SDK.

Detects insider data exfiltration by analyzing DLP policy violations, file access patterns, upload volume anomalies, and off-hours activity in endpoint and cloud logs using pandas for behavioral analytics and statistical baselines.

Proactively hunt for adversary abuse of legitimate system binaries (LOLBins) to execute malicious payloads while evading detection.

Detect abuse of legitimate Windows binaries (LOLBins) like certutil, regsvr32, mshta, and rundll32 using process telemetry, Sigma rules, and parent-child process analysis.

Audits Azure Storage accounts for misconfigurations including public blob access, weak network rules, missing encryption, permissive SAS tokens, and disabled logging using Azure CLI, PowerShell, and Defender for Storage.

Detect dangerous ACL misconfigurations in Active Directory by querying and parsing nTSecurityDescriptor attributes to identify GenericAll, WriteDACL, WriteOwner, and GenericWrite abuse paths.

Tests APIs for excessive data exposure where endpoints return more data than the client application needs, relying on the frontend to filter sensitive fields. Maps to OWASP API3:2023 Broken Object Property Level Authorization.

Deploys endpoint Data Loss Prevention (DLP) controls to detect and prevent sensitive data exfiltration through email, USB, cloud storage, and printing using Microsoft Purview or Symantec DLP.

Find over-permissive RBAC roles and service-account token abuse paths in Kubernetes using kubectl auth can-i, rbac-police, kubectl-who-can, and rakkess during authorized cluster security reviews.

Audit Kubernetes RBAC configurations to identify overly permissive roles, wildcard permissions, dangerous bindings, service account abuse, and privilege escalation paths using kubectl, rbac-tool, KubiScan, and Kubeaudit.

Exploit Active Directory Certificate Services (AD CS) misconfigurations, specifically ESC1. By requesting a certificate based on a overly permissive template that allows the enrollee to supply a Subject Alternative Name (SAN), an attacker can impersonate highly privileged users (like Domain Admins) and seamlessly escalate privileges across the entire AD environment.

Applies Brazil's LGPD framework to assess data processing legal bases, align with ANPD expectations, and classify personal data for privacy compliance.

Performs authorized database security assessments across PostgreSQL, MySQL, MSSQL, MongoDB, and Redis, checking exposure, authentication, authorization, dangerous configurations, and exploit paths.