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Verification of the defense capabilities of the US high-defense server: from stress testing to actual combat optimization
Time : 2025-06-22 14:37:25
Edit : Jtti

Currently, there are high-defense servers in the United States that support "T-level defense", but they crash instantly when real attacks occur. For example, in an e-commerce platform, because the defense line was penetrated by an 80Gbps UDP attack on the promotion day, the direct loss of orders exceeded two million US dollars. Therefore, the verification of the defense capabilities of renting high-defense servers in the United States is a must.

1. Necessity of verification: the technical truth that penetrates marketing rhetoric

There is systematic fraud in the high-defense server market in the United States. Low-priced packages are marked with "500G defense", but the actual cleaning capacity is less than 50Gbps; shared clusters are oversold, resulting in competition for cleaning resources, and normal business is mistakenly killed during the peak of attacks. The real defense capability must be cross-validated through three types of tests:

Stress limit test: detect the authenticity of the defense peak promised by the service provider;

Protocol compatibility test: verify the integrity of the TCP/UDP/ICMP full protocol stack protection;

Business impact assessment: measure the delay increment of normal user access when defense is turned on.

2. Authorization test process: legal and safe actual combat verification

The first thing to do is to prepare the environment and tools, sign a "Stress Test Authorization" with the service provider, and clarify the test time, traffic scale and exemption clauses. Rent a cloud server as a traffic launch point to avoid IP blocking.

Install a multi-dimensional monitoring tool to build a monitoring matrix:

apt install prometheusnodeexporter host indicator

docker run d name netdata netdata/netdata real-time traffic

Test tool chain selection:

Attack type tool key parameters

TCP SYN Flood hping3 S p 80 flood

HTTP Flood GoldenEye w 100 s 500

UDP reflection amplification Scapy forged source IP to send DNS query

CC attack HULK d 30 (delay parameter)

After completing the above steps, you can start the hierarchical boost test

In the initial stage, 10Gbps UDP Flood lasts for 5 minutes, and observe the cleaning trigger time (should be ≤30 seconds). During the upgrade phase, increase the traffic by 50% every 10 minutes, and focus on recording: when the bandwidth utilization rate exceeds 80%, the cleaning effect may be attenuated, the interception ratio of normal user requests (threshold <0.5%), the service delay, the difference in API response time before and after the defense is turned on (if it exceeds 20ms, it needs to be optimized), and when the limit test reaches the nominal defense value (such as 300Gbps), inject mixed attack traffic (SYN+HTTP Flood) for 15 minutes to verify the stability.

Then you can start a deep security assessment. WAF rule bypass test:

python
SQL injection Payload variant
payloads = ["' OR 1=1 ", "admin'/", "1' UNION SELECT @@version"]

Send to the target URL to observe the interception rate. Black hole route verification, after triggering the cleaning threshold, confirm whether the attack IP is correctly blocked through BGP route monitoring. Check the cleaning center log to confirm the accuracy of attack type identification (such as distinguishing DNS amplification from HTTP Slowloris).

3.Key indicator analysis: Ironclad evidence for identifying false protection

1. Authenticity of cleaning capability: The service provider claims "500G defense", but in the test, 200Gbps traffic caused the CPU to be fully loaded and the cleaning cluster to crash. The difference between the attack traffic inlet value (provided by the ISP) and the outlet value (received by the server) is the cleaning traffic. If the difference is less than 80% of the nominal value, there is false propaganda.

2. Protocol layer protection defects: It can defend against SYN Flood but ignores fragmentation attacks (IP Fragmentation). HTTP Flood cleaning rules do not cover the HTTP/2 protocol. Use Nmap to detect protocol vulnerabilities:

nmap sF p 80 target_ip FIN scan detection status filtering
nmap sX p 443 target_ip Xmas scan detection abnormal packet processing

Business impact blind spot: After the defense of a certain video platform was turned on, the user live stream freeze rate increased by 40%. Root cause: The cleaning device did not support the QUIC protocol, resulting in the mistaken killing of legitimate UDP streams. Four business indicators must be measured: payment interface success rate (needed to be ≥99.99%), video stream first frame time (≤1 second), API average response delay (≤100ms), SSL handshake performance (TLS 1.3 support).

4. Continuous optimization strategy: from test data to defense enhancement

Rule tuning, especially for WAF rules with a false positive rate of more than 5%, add a business whitelist:

nginx
Nginx configuration example: release a specific UserAgent
if ($http_user_agent ~ "MyApp/") {
set $rule_0 0;
}

Enable the dynamic challenge mechanism to return a JavaScript challenge to suspicious IPs instead of directly banning them.

Architecture upgrade When the cleaning delay increment exceeds 20ms: Deploy Anycast network: Distribute attack traffic to global edge nodes, and enable intelligent scheduling to automatically switch cleaning strategies based on business profiles (such as game business priority protection UDP).

The circuit breaker mechanism is strengthened by configuring automatic fault switching, which is triggered based on Prometheus alarms

alert: HighLatency
expr: response_latency_seconds{job="web"} > 0.5
for: 2m
annotations:
summary: "Switch traffic to the backup cleaning center"
command: "curl X POST http://api.cdn.com/switch_center"

The ultimate verification framework: three-level testing method

1. Basic verification: Use open source tools (hping3/LOIC) to launch a single-vector attack to verify the 50% defense effect of the nominal value.

2. Hybrid attack verification: Simulate multi-vector pulse attacks through professional platforms (such as Radware) to test the policy conflict handling capabilities.

3. Chaos engineering verification: Inject faults during the off-peak period of the production environment (such as shutting down the cleaning node) and measure the system self-healing time (RTO≤60 seconds to meet the standard).

Cost and risk balance: Configure basic defense (50Gbps) on a daily basis, and elastically enable cloud cleaning resources during attacks. Actual tests show that this solution saves 43% of the cost compared to fixed T-level defense, and the success rate of resisting real attacks exceeds 99%.

The real verification of defense capabilities is essentially to protect the business with the attacker's thinking. When you see "successfully resisted 800Gbps mixed attack, business delay fluctuation ≤9ms" in the test report, you can be considered to have truly rented a server with real defense to ensure business security.

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