SECAI Core · phase 11 of 15 · noun

Malware

Software that serves a malicious purpose, typically installed without the user's consent (or knowledge).

The Explain card

Plain English
Malware is any software built for a malicious purpose, usually installed without the user's consent or knowledge. Viruses, worms, ransomware, spyware, and trojans are all members of the family.
Example
A researcher downloads a "pretrained model" from a file-sharing site. The pickle file executes code on load, dropping a credential stealer that harvests cloud API keys from the machine.
Why it matters
Model files, notebooks, and plugins are executable content in disguise. Defenders need scanning, safe serialization formats, and sandboxed loading to keep AI tooling from becoming a malware delivery channel.
Hook
Software with a hidden agenda.

Word knowledge

How the word is built, where it came from, and what it sits beside in memory.

In a sentence

The security team quarantined malware detected on a model-training server before restoring the machine from a verified image.

How it is built
  • mal- clipped element from malicious
  • -ware combining form a type of computer software
Where it came from
Origin
an English blend of malicious and software
Entered the language
1990
What changed
It began as an umbrella coinage for threats such as viruses and worms, then expanded to include newer families such as ransomware and spyware.
How it is spelled
Pattern
Like many computing terms ending in -ware, malware is written as one closed word.

Spelled like

  • software
  • spyware
  • ransomware
Broken into chunks
  • mal
    • malicious
    • malign
    • malpractice
  • ware
    • software
    • hardware
    • spyware
What it sits beside

Same subject

  • virus
  • worm
  • Trojan
  • ransomware

Same shape

  • adware
  • scareware
  • spyware
  • ransomware

malware families

  • virus
  • worm
  • Trojan
  • ransomware

Where it sits in the deck

Phase 11: Threat Landscape: Attack Vectors and Adversarial Techniques

With defences named, learn what they must defend against — the full catalogue of attack techniques targeting AI systems, their inputs, outputs, training pipelines, and supply chains.