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1Scan for outdated or missing drivers - takes under a minute2Clear out junk files and repair common Windows errors3Fix the driver behind crashes, sound loss and screen glitchesA sudden traffic spike is a reason to investigate, not proof of a bot attack. The clearest warning comes when an unexplained rise in requests or bandwidth coincides with slower responses or errors and unusual request patterns in server logs or security analytics. Compare the spike with your site’s normal baseline, then identify which pages, sources and request types account for it.
Start with impact, not just the traffic chart
Check whether the site became slower, returned more errors or was unavailable while requests or bandwidth climbed. That combination is more concerning than a traffic increase on its own. Cloudflare lists downtime or slow responses, unexpected request or bandwidth spikes, and unusual requests in origin logs as signs to investigate during a possible DDoS attack: Cloudflare’s DDoS guidance.
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Compare the traffic chart with edge request counts, bandwidth and origin access logs. If analytics shows a spike but server-side and edge request data do not, first investigate how the analytics tool counts visits. If the request surge is visible across those systems, determine when it began, how long it lasted and whether it matches a campaign, referral or other expected event. Timing can guide an investigation, but it does not establish that the traffic is automated or malicious.
Find the requests behind the increase
Break the surge down by hostname and URL path. A concentration on login, checkout or API routes is useful context, particularly if those endpoints are receiving far more requests than usual. But popular or sensitive routes also serve legitimate visitors, so a busy path alone is not proof of abuse.
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Next, examine request characteristics available in your logs or security dashboard:
- Automation classification: Review bot categories or scores, where available, and how many requests fall into each group.
- User agents: Look for unusually repetitive or concentrated values. A user-agent string is only a clue; it is not reliable proof of identity by itself.
- Source networks: Compare the distribution of source IPs or autonomous systems if your tools expose them. A single IP or network can be a clue, but should not determine your conclusion alone.
- Geography: Check whether requests are unusually concentrated in places that differ from your normal traffic. A foreign location is not inherently suspicious.
- Request patterns: Look for repeated activity, abrupt concentrations or other behavior that departs from your baseline, especially when it targets a small set of paths.
Cloudflare’s guidance recommends examining bot-score distribution, requested paths, traffic patterns, user agents, geography and verified bots when investigating bot traffic: Cloudflare bot analytics guidance.
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Use analytics as supporting evidence
Unexpected pageviews, a sharp change in bounce rate or session duration, junk conversions, or a sudden geographic shift can indicate automated activity. They are not definitive: analytics may omit or misclassify visits, and real visitors can behave differently during a campaign or site problem. Compare these signals with request logs and service impact rather than treating any one metric as a verdict. Cloudflare describes such patterns as indicators to consider, not proof: Cloudflare’s explanation of bot traffic.
Separate legitimate automation from suspicious traffic
Not every bot is harmful. Search crawlers such as Googlebot and Bingbot, as well as uptime monitors, may make automated requests for legitimate purposes. Review the platform’s bot category and verification mechanisms before challenging or blocking a crawler or monitoring service. Do not infer malicious intent from automation alone.
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A traffic increase can also come from real people following a promotion or referral. Check whether the timing and landing pages match a known source, then assess engagement and conversions alongside the request data. No single source, path, user agent, location or analytics metric establishes intent by itself.
Interpret thresholds in their product context
Cloudflare’s Bot Detection Alerts documentation, last updated October 2, 2026, describes one alert condition using a bot score below 30, more than 200 bot requests in five minutes, and a Z-score above 3.5 against a six-hour baseline. The alert excludes verified bots. These are settings for that Cloudflare alert feature—not universal thresholds for declaring an attack or a substitute for investigating logs: Cloudflare Bot Detection Alerts documentation.
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Choose a proportionate response
If the evidence points to harmful, high-volume behavior or the site is degrading, follow your hosting, CDN or web application firewall incident process. Use the traffic breakdown to focus controls on the abusive pattern and affected endpoints, rather than blocking broad groups of visitors based only on a country, IP or bot label. Monitor service performance and legitimate traffic after making a change so you can see whether the response is helping or causing collateral impact.
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