UNMASKCONTENT: THE CASE STUDY
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1 DIGITONTO LLC. UNMASKCONTENT: THE CASE STUDY The mystery UnmaskContent.com v1.0
2 Contents I. CASE 1: Malware Alert... 2 a. Scenario... 2 b. Data Collection... 2 c. Data Aggregation... 3 d. Data Enumeration... 3 e. Verifying Malware... 4 f. Summary... 4 II. Case 2: Botnet C&C Investigation... 5 a. Scenario... 5 b. Data Collection... 5 c. Data Aggregation... 6 d. Data Enumeration... 7 e. Summary... 7 III. Conclusion... 8 IV. Disclaimer P a g e
3 I. CASE 1: Malware Alert a. Scenario There has been a malware alert in a SIEM/SIM such as ArcSight, ARC or AlienVault. You have logs indicating the following: 1. Infected URL visited by an internal user. 2. User s host is redirected to a malware site. 3. User s host downloads this malware. 4. ArcSight triggered an alert for intrusion. In this case, we will look at how an analyst is handling the scenario. We will also talk about how to integrate the usage of various Unmask web-portals in the flow documentation of each web portal. b. Data Collection In this scenario, an analyst used a log aggregator to collect all the information around the time frame of the indicated intrusion. The first thing that the analyst has to do is to ensure that the logs were indicating a true intrusion or compromise, as opposed to being a false-positive, although the determination is beyond the scope of this document. There were several lines of logs around the timeframe, although few of them indicated the communication with the malware site after the user visited a compromised web portal. 2 P a g e
4 UnmaskContent was used to perform remote wget of one of the malware or malicious websites from the logs that looked suspicious. The analyst also has to verify the compromised website that redirected the user to the malware site, in order to determine the cause of this redirection. The analyst also has to verify if this alert was a true-positive with the malware site being active. c. Data Aggregation Now that the analyst has all the domain names and URLs of the possible intrusion, he would have to verify what caused this redirection. Analyst entered the URL of this compromised site in the text-box on UnmaskContent. Response indicated that there was a hidden <iframe> on the compromised site s webpage that the user visited. This <iframe> then redirected the user to the possible malware website. d. Data Enumeration The analyst entered the compromised website s URL in the custom Referrer section before grabbing the data from the malware site. Analyst used customized User-Agents and Content-Types in order to access the malware site. Analyst used application/octet-stream which is a pre-defined Content- Type from the drop-down list in order to obtain the Portable Executable (PE) that was downloaded. 3 P a g e
5 e. Verifying Malware Analyst determined that the executable changed each time he tried accessing the website with UnmaskContent, so the analyst grabbed HASH of the files and verified with UnmaskHASH. Once he obtained the list of executable, he would then write up the incident analysis report and performs steps for remediation procedures in order to clean up any compromise. PCAP recording tools, network anomaly tools and others could be used to verify the compromise at the host level. f. Summary Analyst used several tools in order to analyze and determine that there was an incident that requires remediation. UnmaskContent aided the analyst in order to prove the true cause of this intrusion or compromise. In this scenario, UnmaskContent helped the analyst determine the hidden iframe that redirected the user to a malicious website, identified the malware, determined that the malware in the remote malicious portal has been constantly changing and helped with the access to other resources. 4 P a g e
6 II. Case 2: Botnet C&C Investigation a. Scenario An analyst at a Fortune 500 firm was investigating traffic during non-business hours. During one such investigation, the analyst found one host that was constantly communicating with few IPs at random timeframes including both business and non-business hours. The analyst had Firewall, IDS, and Proxy and Router logs indicating the true source of this incident and the external IPs that it is communicating with. The analyst then performed logger searches from the internal source to the external IPs for a seven day timeframe. Logs indicated the following: 1. The host was sending exactly 512 byte packets. 2. The communication was randomized to 1 packet every minutes. 3. The packets were encoded and sent over HTTP (80/TCP). 4. The destination URL had the source host information. Let us look at how an analyst would handle this situation using the Unmask series of portals. b. Data Collection Data collection is not taken serious in many work environments. Analysts should be trained well in data collection as this is the heart of any form of incident analysis. Putting the pieces of a puzzle together without all the 5 P a g e
7 essential pieces and without knowing the end result is often the biggest challenge an analyst faces. An analyst is not going to know that an incident is from a fake AV or a Botnet before he or she has put all the pieces of the puzzle together. There is also a tradeoff with the number of pieces collected. Any unwanted data should be discarded immediately, before it gets used unintentionally as part of the analysis or the root cause determination process. Knowing which pieces of data are required and which are not is the hardest part of an analysts' job. c. Data Aggregation Analyst used UnmaskContent to determine the content of these URL using GET request. It was then determined that GET requests are responded with a 404 with this particular domain. The analyst then delved the packet data with network traffic PCAP aggregators and IDS logs and found that these were POST requests to a well-known botnet command & control server listed under IRC bots list at EmergingThreats and ShadowServer. Analyst is then curious as to why an IRC bot would use HTTP (80/TCP) for its communication. In most enterprises the only open egress port is 80/TCP and IRC over HTTP is not hard for communication. This was then confirmed with a HTTP response 451: ERR_NOTREGISTERED ":You have not registered" response on UnmaskContent, when the POST command with the specific parameters were used to hit the site that this host was communicating with. 6 P a g e
8 d. Data Enumeration Collecting the various pieces of the puzzle is what we observed in data collection. Enumeration is where the analyst gets to know what exactly he should keep and /or discard in order to perform the analysis. This is where UnmaskContent comes in handy, because it helps the analyst to determine what exactly is required. If there are no results from the IRC server over HTTP response, then it cannot be determined if this indeed is an IRC over HTTP. The best part about UnmaskContent is that it does all these queries from servers that are not inside the analyst s enterprise. The attacker does not get to know who is researching or that the victim that has been compromised is researching on them. This would take the victim out of the picture, since the attacker would not know who or why their site is being hit from this neutral location. e. Summary The analyst in this scenario has used UnmaskContent to verify the legitimacy of the beacons that were determined through raw log analysis. This was done by using the IRC over HTTP response, with a combination of other open source records that indicated the nature of this botnet. Unmask series of sites is designed to help analysts globally to analyze their incidents and by far in intrusion defense. 7 P a g e
9 III. Conclusion UnmaskContent is a content gathering web-portal that is used by analysts and engineers across the world. APIs have been developed to extend the features and functionalities of UnmaskContent and this has been done by modularizing the code. Please contact your supervisor about the rules and limitations of the Standard Operating Procedures (SOPs) before entering any confidential or custom information into UnmaskContent. UnmaskContent could be used for out-of-band analysis and makes it harder for the attacker to determine the true source behind this investigation. IV. Disclaimer Unmask Series of web portals (referred to as UnmaskContent or any other website, suite, framework, software, code or documentation that belongs to DigitOnto LLC.) is a product of DigitOnto LLC. This series of web portals and its design is Copyright (All rights reserved) of DigitOnto LLC. Unmask Series of web portals is created and used in legitimate and for ethical usages and reasons alone. Any unwanted, illegal, unethical or any other malicious activity is strictly prohibited. Information on users who violate the terms or conditions of usage will be handed over to law enforcement upon request or if deemed prudent by DigitOnto LLC. This website is monitored and activities logged using a layered defense approach and you are requested to check our acceptable use policy before further usage. 8 P a g e
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