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title: 5 Signs That Authenticated API Traffic Is Actually Malicious
description: 95% of API attacks originate from authenticated sources, making them nearly invisible to standard security systems. Five behavioral signals can help detect...
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# 5 Signs That Authenticated API Traffic Is Actually Malicious

**[Nordic APIs](https://daily.dev/sources/nordicapis)** · 6 min read · 0 upvotes · 0 comments

## Summary

95% of API attacks originate from authenticated sources, making them nearly invisible to standard security systems. Five behavioral signals can help detect malicious authenticated traffic: sequential resource enumeration (a BOLA indicator), anomalous login locations or access patterns, unusually high request volumes (especially 24/7 activity suggesting AI-driven attacks), unexpected bulk actions like mass data transfers, and elevated HTTP 4xx error rates indicating reconnaissance. Mitigations include identity-based user profiles to baseline normal behavior, triggering additional auth flows on anomalies, alerting on bulk actions, and applying least-privilege role-based access controls.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://nordicapis.com/5-signs-that-authenticated-api-traffic-is-actually-malicious>

## Questions this post answers

### What percentage of API attacks come from authenticated sources according to Salt Security?

95% of API attacks come from authenticated sources, according to a Salt Security report. This means most API attacks use valid credentials and appear as legitimate transactions, making them invisible to typical perimeter-focused cybersecurity systems that only check whether a request is authenticated rather than whether its behavior is normal.

_Teams building API threat detection can track behavioral security patterns like this on daily.dev._

### What request pattern indicates a Broken Object Level Authorization (BOLA) attack on an API?

Sequentially requesting enumerated resources, such as calling /objectID/12345, then /objectID/12346, then /objectID/12347 in order, is one of the most common patterns associated with Broken Object Level Authorization attacks. Alerting on sequential resource access, or avoiding enumerated naming conventions in API design altogether, helps defend against this type of enumeration attack.

_Developers designing API authorization models can follow BOLA prevention techniques on daily.dev._

### How can I tell if bulk data requests to my API are from an AI-driven attacker rather than a human user?

Continuous request activity spread evenly across a full 24-hour cycle with no rest periods is a strong sign of AI-driven automated abuse, since human attackers need to sleep but automated systems do not. Combined with unexpected bulk actions, such as a user suddenly transferring an entire customer base or payroll dataset in a single call, this pattern should trigger identity-based alerts and additional authentication checks.

_Security teams distinguishing human from automated API abuse can dig into detection patterns on daily.dev._

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- [When ‘Normal’ Traffic Isn’t Normal: Predator Bots and the Hidden War on Business Logic](https://daily.dev/posts/when-normal-traffic-isn-t-normal-predator-bots-and-the-hidden-war-on-business-logic-zyzn0y5nd) · Nordic APIs · 0 upvotes · 0 comments
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---

Tags: [#security](https://daily.dev/tags/security), [#machine-learning](https://daily.dev/tags/machine-learning), [#authentication](https://daily.dev/tags/authentication)

[View this post on daily.dev](https://daily.dev/posts/5-signs-that-authenticated-api-traffic-is-actually-malicious-vd8oga5qb)

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