AI agents call delete_yara_rule to permanently remove resources in YaraFlux MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Deleting YARA rules is a destructive operation that cannot be reversed without re-adding the rule. This could remove critical threat detection definitions from the system, degrading security posture. An AI agent deleting rules carelessly could eliminate important malware signatures. While not a direct data deletion, it permanently removes security configuration.
From the tool's definition Tool name 'delete_yara_rule' indicates removal of YARA rules without possibility of undo. No description provided, but the 'delete_' prefix combined with the sibling tools that manage rules (add_yara_rule) confirms this performs irreversible deletion.
Documented attack patterns abuse exactly the kind of access delete_yara_rule gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and YaraFlux MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for delete_yara_rule:
{
"version": "1",
"default": "deny",
"hide": [
"delete_yara_rule"
]
} delete_yara_rule disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
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delete_yara_rule. It is categorised as a Destructive tool in the YaraFlux MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the YaraFlux MCP Server MCP server in PolicyLayer and add a rule for delete_yara_rule: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches YaraFlux MCP Server. Nothing to install.
delete_yara_rule is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the delete_yara_rule rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for delete_yara_rule. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
delete_yara_rule is provided by the YaraFlux MCP Server MCP server (threatflux/yaraflux). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from YaraFlux MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
20 YaraFlux MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.