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macOS post-exploitation for credential harvesting, DTrace monitoring, TCC bypass, and stealth operations via native tools
Windows userland post-exploitation for credential harvesting, monitoring, AMSI/ETW bypass, and stealth operations
Kubernetes post-exploitation for container escape, secret extraction, RBAC abuse, and cluster persistence
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基于 SOC 职业分类
| name | cis-nginx-v300-5-2-4 |
| description | Ensure the number of connections per IP address is limited (Manual) |
| category | cis-nginx |
| version | 3.0 |
| author | cyberstrike-official |
| tags | ["cis","nginx","web-server","reverse-proxy","request-limits","request-filtering"] |
| cis_id | 5.2.4 |
| cis_benchmark | CIS NGINX Benchmark v3.0.0 |
| tech_stack | ["nginx","linux","web-server"] |
| cwe_ids | [] |
| chains_with | [] |
| prerequisites | [] |
| severity_boost | {} |
NGINX's ngx_http_limit_conn_module provides a mechanism to limit the number of simultaneous connections from a single client IP address. This is achieved in two steps:
limit_conn_zone: This directive, typically defined in the http block, creates a shared memory zone to store the state for each client IP address.limit_conn: This directive, applied in a server or location block, enforces a specific connection limit using the previously defined zone.When a client exceeds this limit, NGINX will reject new connections with a 503 Service Temporarily Unavailable error.
The primary purpose of connection limiting is to mitigate resource exhaustion and certain types of Denial of Service (DoS) attacks where an attacker opens many connections and holds them open for as long as possible. It is a different tool than rate limiting (limit_req), which is designed to stop rapid-fire requests (like brute-force attacks). By enforcing a reasonable connection limit, the server can prevent a single malicious or misconfigured client from consuming an unfair share of worker connections.
This is a critical consideration. A single public IP address can represent thousands of individual users behind a large corporate NAT, a university campus, or a Carrier-Grade NAT (CG-NAT) from a mobile provider. Setting the connection limit too low will block legitimate users in these scenarios. The appropriate limit is a delicate balance and depends entirely on the target audience. A public-facing website requires a much higher limit than a restricted admin interface.
This is a manual check requiring context.
1. Run the following command to inspect the loaded NGINX configuration for connection limiting rules:
nginx -T 2>/dev/null | grep -E '^\s*(limit_conn_zone|limit_conn)'
2. Manually evaluate the findings:
limit_conn_zone defined in the http block?limit_conn directive applied in the appropriate server or blocks?locationCritically, assess the configured limit. Is a limit of 10 appropriate for a public website accessed by customers or large companies? Or is it a sensible value for a specific /login location? The value must be justifiable for its context.
First, define a shared memory zone in the http block. Then, apply a carefully considered limit in the server or location context.
Understanding the zone size: The memory usage for the $binary_remote_addr key is fixed (64 bytes on a 64-bit system). Therefore, 1 megabyte of zone memory can store approximately 16,384 states. A 10m zone can store over 160,000 states.
Example Configuration:
http {
# Define a 10MB zone named 'per_ip' to track connections by IP.
# $binary_remote_addr is more memory-efficient than $remote_addr.
limit_conn_zone $binary_remote_addr zone=per_ip:10m;
server {
# Apply a general limit of 20 connections per IP for this server.
# This might be a reasonable starting point for a public site.
limit_conn per_ip 20;
# For a resource-intensive download area, apply a stricter limit.
location /downloads/ {
limit_conn per_ip 5;
}
}
}
By default, no connection limits are configured. NGINX will accept as many simultaneous connections from a single IP address as its worker processes can handle.
| Controls Version | Control | IG 1 | IG 2 | IG 3 |
|---|---|---|---|---|
| v8 | 16.1 Establish and Maintain a Secure Application Development Process | N | Y | Y |
| v7 | 18.1 Establish Secure Coding Practices | N | Y | Y |
| Tactic | Technique |
|---|---|
| Impact | T1499 - Endpoint Denial of Service |
| Impact | T1499.001 - OS Exhaustion Flood |