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Rule-generation refinement playbook for XRCE-DDS Malformed Inject — injection of malformed XCDR payloads into an established session targeting the Micro CDR deserializer. Load when the operator intent maps to attack_id xrce-dds-malformed-inject.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
Generate Snort 3.9.7.0 IDS rules from a natural-language operator intent. Use whenever you need to write a new rule, refine an existing one, or recover from a syntax error.
Reuse Snort rules that already fired in past experiments. ALWAYS consult this skill at the start of every cycle BEFORE writing a new rule. Validated rules are known-good detection patterns persisted per attack_id under data/validated_rules/.
How to produce an evasion variant of a previously successful attack. Use this when request_variant=True on the attacker request.
How to execute the selected attack container on the attacker host and interpret the result.
How to map an operator intent to one of the attacks discovered on the attacker host. Use this before calling execute_attack.
Rule-generation refinement playbook for MQTT Brute Force — credential brute force against MQTT brokers on TCP port 1883 using dictionary attacks. Load when the operator intent maps to attack_id mqtt-bruteforce.
SOC 직업 분류 기준
| name | xrce-dds-malformed-inject |
| description | Rule-generation refinement playbook for XRCE-DDS Malformed Inject — injection of malformed XCDR payloads into an established session targeting the Micro CDR deserializer. Load when the operator intent maps to attack_id xrce-dds-malformed-inject. |
Load this skill whenever the operator intent maps to the xrce-dds-malformed-inject attack. It contains:
The full playbook is in references/refinamento.md (Portuguese). Use
get_skill_reference("xrce-dds-malformed-inject", "refinamento.md") to load it before producing your first rule for this attack family.
A first-pass Snort rule for xrce-dds-malformed-inject (e.g. a rate-based detection_filter on the destination port)
typically catches only the most naive variant. The playbook describes the specific mutations an
attacker would apply against each detection hypothesis, letting you write rules that anticipate
evasion variants instead of being defeated by the second one.
attack_id.get_skill_instructions("xrce-dds-malformed-inject") to load this overview.get_skill_reference("xrce-dds-malformed-inject", "refinamento.md") to load the full hypothesis catalogue.fired=False, re-read the adaptation algorithm section to choose a
refined rule that closes the gap revealed by the evasion variant.