def dashboard(request):
count_ips, count_domains = total_data()
count_bugs = total_bug()
total = {
"ips": count_ips,
"domains": count_domains,
"bugs": count_bugs
}
# 资产相关
data = properly.objects.order_by("-id").all()
# 图表统计
payload = {"size": 0,
"aggs": {
"sales": {
"date_histogram": {
"field": "published_from",
"interval": STATIC_TASKS,
"format": "yyyy-MM-dd"
}
}
}
}
s = Search(using=es, index='w12scan').from_dict(payload)
res = s.execute().to_dict()
try:
charts = res["aggregations"]["sales"]["buckets"]
except KeyError:
charts = []
data_chart = {
"labels": [],
"data": []
}
for item in charts:
data_chart["labels"].append(item["key_as_string"])
data_chart["data"].append(item["doc_count"])
# Bar chart
names = count_name()
data_bar = {
"labels": [],
"data": []
}
for item in names:
data_bar["labels"].append(item["key"])
data_bar["data"].append(item["doc_count"])
return render(request, "frontend/dashboard.html",
{"total": total, "zc_data": data, "data_chart": data_chart, "data_bar": data_bar})
def index(request):
page = request.GET.get("p", "1")
q = request.GET.get("q", None)
try:
page = int(page)
except:
page = 1
if page <= 0:
page = 1
es = Elasticsearch(ELASTICSEARCH_HOSTS)
start_time = datetime.now()
keywords = None
if q is None:
_search = {
"from": (page - 1) * 20,
"size": 20,
"sort": {"published_from": {"order": "desc"}}
}
else:
_search, keywords = k2e_search(q, page)
s = Search(using=es, index='w12scan').from_dict(_search)
count = s.execute().hits.total
# 分页逻辑
max_page = math.ceil(count / 20)
if page <= 5:
paginations = range(1, 10)
elif page + 5 > max_page:
paginations = range(max_page - 5, max_page + 5)
else:
paginations = range(page - 5, page + 5)
temp_pagin = []
for i in paginations:
if i <= max_page:
temp_pagin.append(i)
paginations = temp_pagin
pagination = {
"max_page": str(max_page),
"current": page,
"pre": str(page - 1) if page - 1 > 0 else "1",
"next": str(page + 1) if page + 1 <= max_page else str(max_page),
"paginations": paginations,
"keyword": ""
}
if q is not None:
pagination["keyword"] = "&q=" + q
# 分页完
datas = []
for hit in s:
doc_type = hit.meta.doc_type
id = hit.meta.id
d = {}
if doc_type == "ips":
d.update(hit.to_dict())
if d.get("infos"):
d["info_tags"] = []
for info in d["infos"]:
d["info_tags"].append("{}/{}".format(info["port"], info.get("name", "unknown")))
d["infos"] = json.dumps(d["infos"], indent=2)
# 资产关联
d["proper"] = is_proper(d["target"], "ip")
elif doc_type == "domains":
d.update(hit.to_dict())
d["target"] = d.get("title") or d.get("url")
if d.get("ip"):
ip = d.get("ip")
ip_info = es_search_ip(ip, True)
if ip_info:
d["location"] = ip_info.location
d["proper"] = is_proper(d["url"], "domain")
d["doc_type"] = doc_type
d["id"] = id
d["published_from"] = datetime_string_format(d["published_from"])
datas.append(d)
# 左侧统计代码逻辑
statistics = {}
# 1.组件统计
apps = count_app()
countrys = count_country()
names = count_name()
ports = count_port()
statistics["apps"] = apps
statistics["countrys"] = countrys
statistics["names"] = names
statistics["ports"] = ports
# 总耗时间
end_time = (datetime.now() - start_time).total_seconds()
return render(request, "frontend/recent.html",
{"datas": datas, "count": count, "second": end_time, "pagination": pagination,
"statistics": statistics, "keyword": keywords})
def dashboard(request):
count_ips, count_domains = total_data()
count_bugs = total_bug()
total = {
"ips": count_ips,
"domains": count_domains,
"bugs": count_bugs
}
# 资产相关
data = properly.objects.order_by("-id").all()
# 图表统计
payload = {"size": 0,
"aggs": {
"sales": {
"date_histogram": {
"field": "published_from",
"interval": STATIC_TASKS,
"format": "yyyy-MM-dd"
}
}
}
}
s = Search(using=es, index='w12scan').from_dict(payload)
res = s.execute().to_dict()
try:
charts = res["aggregations"]["sales"]["buckets"]
except KeyError:
charts = []
data_chart = {
"labels": [],
"data": []
}
for item in charts:
count = item["doc_count"]
if count == 0:
continue
data_chart["labels"].append(item["key_as_string"])
data_chart["data"].append(item["doc_count"])
# Bar chart
names = count_name(6)
data_bar = {
"labels": [],
"data": []
}
for item in names:
data_bar["labels"].append(item["key"])
data_bar["data"].append(item["doc_count"])
# node monitor
nodenames = redis_con.keys("w12_node_*")
nodes = []
for nodename in nodenames:
dd = redis_con.hgetall(nodename)
tem_dict = {}
tem_dict["nodename"] = lstrsub(nodename, "w12_node_")
tem_dict["last_time"] = dd.get("last_time", 0)
tem_dict["tasks"] = dd.get("tasks", "error")
tem_dict["running"] = dd.get("running", "error")
tem_dict["finished"] = dd.get("finished", "error")
tem_dict["status"] = "Running"
if time.time() - float(tem_dict["last_time"]) > 60 * 5:
tem_dict["status"] = "Pending"
tem_dict["time"] = smartDate(float(tem_dict["last_time"]))
nodes.append(tem_dict)
# bug[domain]漏洞图表展示
dd = es.indices.get_mapping(index='w12scan', doc_type='domains')
dd = dd["w12scan"]["mappings"]["domains"]["properties"]
data_bugs = []
if "bugs" in dd:
bug_type = dd["bugs"]["properties"].keys()
index = 0
for bug_name in bug_type:
index += 1
count = get_bug_count('domains', bug_name)
dd = {}
_cls = ["primary", "info", "danger", "success", "warning"]
dd["label"] = bug_name
dd["count"] = count
dd["cls"] = _cls[index % 5]
data_bugs.append(dd)
return render(request, "frontend/dashboard.html",
{"total": total, "zc_data": data, "data_chart": data_chart, "data_bar": data_bar, "nodes": nodes,
"data_bugs": data_bugs})
def dashboard(request):
count_ips, count_domains = total_data()
count_bugs = total_bug()
total = {
"ips": count_ips,
"domains": count_domains,
"bugs": count_bugs
}
# 资产相关
data = properly.objects.order_by("-id").all()
# 图表统计
payload = {"size": 0,
"aggs": {
"sales": {
"date_histogram": {
"field": "published_from",
"interval": STATIC_TASKS,
"format": "yyyy-MM-dd"
}
}
}
}
s = Search(using=es, index='w12scan').from_dict(payload)
res = s.execute().to_dict()
try:
charts = res["aggregations"]["sales"]["buckets"]
except KeyError:
charts = []
data_chart = {
"labels": [],
"data": []
}
for item in charts:
data_chart["labels"].append(item["key_as_string"])
data_chart["data"].append(item["doc_count"])
# Bar chart
names = count_name()
data_bar = {
"labels": [],
"data": []
}
for item in names:
data_bar["labels"].append(item["key"])
data_bar["data"].append(item["doc_count"])
# node monitor
nodenames = redis_con.keys("w12_node_*")
nodes = []
for nodename in nodenames:
dd = redis_con.hgetall(nodename)
tem_dict = {}
tem_dict["nodename"] = lstrsub(nodename, "w12_node_")
tem_dict["last_time"] = dd.get("last_time", 0)
tem_dict["running"] = dd.get("running", "error")
tem_dict["finished"] = dd.get("finished", "error")
tem_dict["status"] = "Running"
if time.time() - float(tem_dict["last_time"]) > 60 * 5:
tem_dict["status"] = "Pending"
tem_dict["time"] = smartDate(float(tem_dict["last_time"]))
nodes.append(tem_dict)
return render(request, "frontend/dashboard.html",
{"total": total, "zc_data": data, "data_chart": data_chart, "data_bar": data_bar, "nodes": nodes})
