GCD AI RADAR
incidents/AIR-2023-0007

Palo Alto Networks security team demonstrates evasion of deep learning malware detector

Attack on AI1 Research / proof of conceptAdversarial evasion

Researchers built a replica deep learning model for malware traffic detection and crafted adversarial HTTP samples to successfully evade it. The finding highlights vulnerability to adversarial perturbation.

Details

type
Attack on AI
An AI model, agent or AI-powered product was the thing exploited, abused or leaked.
categories
  • Adversarial evasion
    Inputs crafted to make a model misclassify or miss detections (perturbations, evasion of AI-based defences).
owasp llm top 10
no entry for these categories
mitre atlas
Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
severity
1 · Research / proof of concept
Demonstrated by researchers; no known real-world exploitation.
targets
Enterprise deployment
products
Palo Alto Networks C&C Traffic Detector
incident date
31 Mar 2023
first reported
31 Mar 2023
origin
AVID
classifier confidence
0.95 · published at or above 0.80; see the methodology
tags
adversarial-evasion · malware-detection
record
created 2026-10-18 06:56Z · updated 2026-10-18 06:56Z · json

Sources · 3

  1. 2023-03-31
    AVID-2023-V001: The Palo Alto Networks Security AI research team tested a deep learning model for malware command and control (C&C) traffic detection in HTTP traffic.
    AVID · github.com/avidml/avid-db/blob/main/vulnerabilities/2023/AVID-2023-V001.json
  2. 2023-03-31
    Evasion of Deep Learning Detector for Malware C&C Traffic
    MITRE ATLAS · atlas.mitre.org/studies/AML.CS0000
  3. 2023-03-31
    Le, Hung, et al. "URLNet: Learning a URL representation with deep learning for malicious URL detection." arXiv preprint arXiv:1802.03162 (2018).
    arXiv · arxiv.org/abs/1802.03162

Titles and links belong to their publishers. The summary above is written by GCD AI RADAR in its own words; data is CC BY-SA 4.0.

Related incidents