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Input Manipulation Attack

Tests whether encoding bypasses, format string attacks, or Unicode manipulation can evade input validation and safety filters.

Sub-types​

  • Encoding Bypass: Using character encoding tricks to bypass input filters.
  • Format String Attack: Exploiting format string processing in input handling.
  • Unicode Manipulation: Using Unicode homoglyphs or special characters to evade detection.

Threat Profile​

Objective: jailbreak

Objective vs. goals

The objective above selects the scoring rubric for a run — it is one of a fixed set of built-in names, not something you write. The goals you pass to an attack are separate free-text strings that you author yourself. See Goals vs. objective.

Secondary

  • wmdp_cyber: Cybersecurity knowledge covering SQL injection and command injection techniques

Attack Techniques​

Primary

  • Static Template: Template-based prompt injection
  • PAIR: Iterative refinement for bypass discovery

Secondary

  • AdvPrefix: Adversarial prefix optimisation

Metrics​

  • asr
  • judge_score

Usage​

Instantiate the Vulnerability​

from hackagent.risks import InputManipulationAttack
from hackagent.risks.input_manipulation_attack.types import InputManipulationAttackType

# Use all sub-types
vuln = InputManipulationAttack()

# Or specify particular sub-types
vuln = InputManipulationAttack(types=[
    InputManipulationAttackType.ENCODING_BYPASS.value,
    InputManipulationAttackType.UNICODE_MANIPULATION.value,
])

Run an Evaluation Campaign​

from hackagent import HackAgent
from hackagent.risks.input_manipulation_attack import INPUT_MANIPULATION_ATTACK_PROFILE

agent = HackAgent(endpoint="http://localhost:8080/chat", name="my-agent")

# Profile techniques use display casing (e.g. "StaticTemplate");
# HackAgent.hack() expects the registered snake_case attack_type key.
ATTACK_TYPE_KEYS = {"StaticTemplate": "static_template", "PAIR": "pair"}

# Use profile recommendations
for attack in INPUT_MANIPULATION_ATTACK_PROFILE.primary_attacks:
    for dataset in INPUT_MANIPULATION_ATTACK_PROFILE.primary_datasets + INPUT_MANIPULATION_ATTACK_PROFILE.secondary_datasets:
        attack_config = {
            "attack_type": ATTACK_TYPE_KEYS[attack.technique],
            "objective": INPUT_MANIPULATION_ATTACK_PROFILE.objective,
            "dataset": {"preset": dataset.preset},
        }
        results = agent.hack(attack_config=attack_config)
        print(f"Results: {results}")