xiaohongshutools
Β· v0.1.0
"XiaoHongShu (Little Red Book) data collection and interaction toolkit. Use when working with XiaoHongShu (ε°ηΊ’δΉ¦) platform for: (1) Searching and scraping notes/posts, (2) Getting user profiles and details, (3) Extracting comments and likes, (4) Following users and liking posts, (5) Fetching home feed and trending content. Automatically handles all encryption parameters (cookies, headers) including a1, webId, x-s, x-s-common, x-t, sec_poison_id, websectiga, gid, x-b3-traceid, x-xray-traceid. Supports guest mode and authenticated sessions via web_session cookie."
β οΈ Hazard Flags
π Capabilities
Execution
- β Shell execution
- β Code execution
- β Install dependencies
- β Persistence
- Privilege: user
Filesystem
- β Read workspace
- β Write workspace
- β Read home
- β Write home
- β Read system
- β Delete
Network
- Egress: any
- β Ingress
Credentials
- β Environment vars
- β Credential files
- β Browser data
- β Keychain
Actions
π Containment
Level: maximum
- SANDBOX_CONTAINER: Code execution capability
- LOG_ACTIONS: Audit trail for all actions
β‘ Risks
Mitigation: Avoid instructing agents to install arbitrary binaries; bundle dependencies or use sandboxed environments
Mitigation: Remove SQL exploitation patterns.
Mitigation: Provide clear, detailed description of skill functionality
Mitigation: Ensure network access is necessary and documented
Want a deeper analysis?
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π§ Deep Analysis β $5.00π¨ Incident Response
Kill switch: Stop the agent process
Containment: Review logs for unexpected actions
Recovery: Depends on skill capabilities
π Raw SSDS JSON click to expand
{
"meta": {
"document_id": "ssds:auto:xiaohongshu:0.1.0",
"ssds_version": "0.2.0",
"scanner_version": "0.4.0+fe6fd9123d50",
"created_at": "2026-03-05T02:47:53.147Z",
"created_by": {
"agent": "safeagentskills-cli/generate-ssds"
},
"language": "en",
"notes": "Auto-generated SSDS. Manual review recommended."
},
"skill": {
"name": "xiaohongshutools",
"version": "0.1.0",
"format": "agent_skill",
"description": "\"XiaoHongShu (Little Red Book) data collection and interaction toolkit. Use when working with XiaoHongShu (ε°ηΊ’δΉ¦) platform for: (1) Searching and scraping notes/posts, (2) Getting user profiles and details, (3) Extracting comments and likes, (4) Following users and liking posts, (5) Fetching home feed and trending content. Automatically handles all encryption parameters (cookies, headers) including a1, webId, x-s, x-s-common, x-t, sec_poison_id, websectiga, gid, x-b3-traceid, x-xray-traceid. Supports guest mode and authenticated sessions via web_session cookie.\"",
"publisher": "ClawHub",
"source": {
"channel": "local"
},
"artifact": {
"sha256": "4c79ee7bb237627186f4036fc195cf491978ec95037904018c4f7cd5357b29bd",
"hash_method": "files_sorted"
}
},
"capabilities": {
"execution": {
"can_exec_shell": false,
"can_exec_code": true,
"privilege_level": "user",
"can_install_deps": false,
"can_persist": false
},
"filesystem": {
"reads_workspace": false,
"reads_user_home": true,
"reads_system": false,
"writes_workspace": false,
"writes_user_home": false,
"writes_system": false,
"can_delete": false
},
"network": {
"egress": "any",
"ingress": false
},
"credentials": {
"reads_env_vars": false,
"reads_credential_files": false,
"reads_browser_data": true,
"reads_keychain": false
},
"services": [],
"actions": {
"can_send_messages": false,
"can_post_public": false,
"can_purchase": false,
"can_transfer_money": false,
"can_deploy": false,
"can_delete_external": false
},
"prompt_injection_surfaces": [
"web"
],
"content_types": [
"general"
]
},
"hazards": {
"hdac": {
"H": 4,
"D": 4,
"A": 0,
"C": 1
},
"flags": [
"CODE_EXEC",
"FS_READ_USER",
"NET_EGRESS_ANY",
"CREDS_BROWSER",
"PI_WEB"
],
"custom_flags": [
{
"code": "TOOL_ABUSE",
"name": "Unauthorized Tool Use",
"description": "INSTRUCTED_BINARY_INSTALL: Instructs agent to install external binary or package"
},
{
"code": "SOCIAL_ENGINEERING",
"name": "Social Engineering Risk",
"description": "SOCIAL_ENG_VAGUE_DESCRIPTION: Skill description is too vague or missing"
},
{
"code": "COMMAND_INJECTION",
"name": "Command Injection Risk",
"description": "MCP_SQL_BLIND, COMMAND_INJECTION_EVAL: Blind SQL injection, system table access, or stored procedure abuse"
},
{
"code": "DATA_EXFILTRATION",
"name": "Data Exfiltration Risk",
"description": "DATA_EXFIL_NETWORK_REQUESTS, DATA_EXFIL_BASE64_AND_NETWORK: HTTP client library imports that enable external communication"
}
],
"confidence": {
"level": "medium",
"basis": [
"static_analysis"
],
"notes": "Detected 4 security patterns (15 vendored rule hits). Review recommended."
},
"rationale": {
"H": "H4: Critical: Privilege escalation or malware detected",
"D": "D4: Critical: Credential theft or data exfiltration",
"A": "A0: No side effects detected",
"C": "C1: General content"
}
},
"containment": {
"level": "maximum",
"required": [
{
"control": "SANDBOX_CONTAINER",
"reason": "Code execution capability"
}
],
"recommended": [
{
"control": "LOG_ACTIONS",
"reason": "Audit trail for all actions"
}
],
"uncontained_risk": "Risk level depends on manual review of actual capabilities."
},
"risks": {
"risks": [
{
"risk": "Unauthorized tool use: INSTRUCTED_BINARY_INSTALL",
"severity": "high",
"mitigation": "Avoid instructing agents to install arbitrary binaries; bundle dependencies or use sandboxed environments"
},
{
"risk": "Command injection risk: MCP_SQL_BLIND, COMMAND_INJECTION_EVAL",
"severity": "critical",
"mitigation": "Remove SQL exploitation patterns."
},
{
"risk": "Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION",
"severity": "low",
"mitigation": "Provide clear, detailed description of skill functionality"
},
{
"risk": "Data exfiltration patterns: DATA_EXFIL_NETWORK_REQUESTS, DATA_EXFIL_BASE64_AND_NETWORK",
"severity": "critical",
"mitigation": "Ensure network access is necessary and documented"
}
],
"limitations": [
"Static analysis only - runtime behavior not verified"
]
},
"incident_response": {
"kill_switch": [
"Stop the agent process"
],
"containment": [
"Review logs for unexpected actions"
],
"recovery": [
"Depends on skill capabilities"
]
},
"evidence": [
{
"evidence_id": "EV:file-1",
"type": "file_excerpt",
"title": "_meta.json",
"file_path": "_meta.json"
},
{
"evidence_id": "EV:file-2",
"type": "file_excerpt",
"title": "scripts/request/web/apis/__init__.py",
"file_path": "scripts/request/web/apis/__init__.py"
},
{
"evidence_id": "EV:file-3",
"type": "file_excerpt",
"title": "scripts/request/web/apis/auth.py",
"file_path": "scripts/request/web/apis/auth.py"
},
{
"evidence_id": "EV:file-4",
"type": "file_excerpt",
"title": "scripts/request/web/apis/comments.py",
"file_path": "scripts/request/web/apis/comments.py"
},
{
"evidence_id": "EV:file-5",
"type": "file_excerpt",
"title": "scripts/request/web/apis/note.py",
"file_path": "scripts/request/web/apis/note.py"
},
{
"evidence_id": "EV:file-6",
"type": "file_excerpt",
"title": "scripts/request/web/apis/user.py",
"file_path": "scripts/request/web/apis/user.py"
},
{
"evidence_id": "EV:file-7",
"type": "file_excerpt",
"title": "scripts/request/web/encrypt/config.py",
"file_path": "scripts/request/web/encrypt/config.py"
},
{
"evidence_id": "EV:file-8",
"type": "file_excerpt",
"title": "scripts/request/web/encrypt/cookie/a1_and_webId.py",
"file_path": "scripts/request/web/encrypt/cookie/a1_and_webId.py"
},
{
"evidence_id": "EV:file-9",
"type": "file_excerpt",
"title": "scripts/request/web/encrypt/cookie/gid_webprofile_data.py",
"file_path": "scripts/request/web/encrypt/cookie/gid_webprofile_data.py"
},
{
"evidence_id": "EV:file-10",
"type": "file_excerpt",
"title": "scripts/request/web/encrypt/cookie/websectiga.py",
"file_path": "scripts/request/web/encrypt/cookie/websectiga.py"
},
{
"evidence_id": "EV:cisco-1",
"type": "file_excerpt",
"title": "DATA_EXFIL_NETWORK_REQUESTS [MEDIUM] scripts/request/web/apis/auth.py:5: import aiohttp",
"file_path": "scripts/request/web/apis/auth.py"
},
{
"evidence_id": "EV:cisco-2",
"type": "file_excerpt",
"title": "MCP_SQL_BLIND [HIGH] scripts/request/web/apis/auth.py:67: await asyncio.sleep(1)",
"file_path": "scripts/request/web/apis/auth.py"
},
{
"evidence_id": "EV:cisco-3",
"type": "file_excerpt",
"title": "DATA_EXFIL_NETWORK_REQUESTS [MEDIUM] scripts/request/web/apis/comments.py:2: import aiohttp",
"file_path": "scripts/request/web/apis/comments.py"
},
{
"evidence_id": "EV:cisco-4",
"type": "file_excerpt",
"title": "MCP_SQL_BLIND [HIGH] scripts/request/web/apis/comments.py:211: # await asyncio.sleep(crawl_interval)",
"file_path": "scripts/request/web/apis/comments.py"
},
{
"evidence_id": "EV:cisco-5",
"type": "file_excerpt",
"title": "DATA_EXFIL_NETWORK_REQUESTS [MEDIUM] scripts/request/web/apis/note.py:2: import aiohttp",
"file_path": "scripts/request/web/apis/note.py"
},
{
"evidence_id": "EV:cisco-6",
"type": "file_excerpt",
"title": "MCP_SQL_BLIND [HIGH] scripts/request/web/apis/note.py:277: await asyncio.sleep(stay_seconds)",
"file_path": "scripts/request/web/apis/note.py"
},
{
"evidence_id": "EV:cisco-7",
"type": "file_excerpt",
"title": "DATA_EXFIL_NETWORK_REQUESTS [MEDIUM] scripts/request/web/apis/user.py:1: import aiohttp",
"file_path": "scripts/request/web/apis/user.py"
},
{
"evidence_id": "EV:cisco-8",
"type": "file_excerpt",
"title": "COMMAND_INJECTION_EVAL [CRITICAL] scripts/request/web/encrypt/config.py:16: return eval(self.config.get(section, key, fallback=fallback))",
"file_path": "scripts/request/web/encrypt/config.py"
},
{
"evidence_id": "EV:cisco-9",
"type": "file_excerpt",
"title": "DATA_EXFIL_BASE64_AND_NETWORK [CRITICAL] scripts/request/web/encrypt/cookie/gid_webprofile_data.py:28: fp_base64 = base64.b64encode(fp_jsonify.encode())",
"file_path": "scripts/request/web/encrypt/cookie/gid_webprofile_data.py"
},
{
"evidence_id": "EV:cisco-10",
"type": "file_excerpt",
"title": "OBFUSCATION_BASE64_LARGE [MEDIUM] scripts/request/web/encrypt/decrypt_xs_xsc.py:88: encoded_p = \"2UQAPsHC+aIjqArjwjHjNsQhPsHCH0rjNsQhPaHCH0c1Pjh9HjIj2eHjwjQgynEDJ74",
"file_path": "scripts/request/web/encrypt/decrypt_xs_xsc.py"
}
]
}