The median rate of web malware encounters in March 2014 was 1:260, compared to a median rate of 1:341 requests in February. At least some of this increased risk appears to have been a result of interest in the NCAA tournaments (aka March Madness), which kicked off during the second week of March in the United States.
In February 2014, web malware encounters from sports and video sites were in the 18 and 28 spot, respectively. During March 2014, web malware from sports- and video-related sites jumped to the number 7 and 8 spots, respectively. The presumed longer time spent viewing sports-related content may have been a factor in a 1% decrease in the total volume of web requests in March coupled with a corresponding 18% increase in terabytes received.
The ratio of unique non-malicious hosts to unique malware hosts decreased by 1%, at 1:4841 in March 2014 compared to 1:4775 in February. The ratio of unique non-malicious IP addresses to malicious unique IP addresses also dropped from 1:1351 in February 2014 to 1:1388 in March. There was also far less volatility in the rate of unique malicious IP addresses throughout March compared to February.
Java encounters dropped from 9% of all web malware encounters in February 2014 to 6% in March. At 43% of all Java encounters, Java version 7 exploits were the most frequently encountered, with 26% targeting Java version 6, and 32% targeting other versions of Java.
Web malware encounters from mobile devices decreased 24% from February to March 2014. In March 3.6% of all Web malware encounters resulted from mobile device browsing, compared to 4.7% in February. Conversely, web malware encounters from non-Android and non-iOS devices doubled for the period, from 0.1% in February to 0.2% in March. The cause of this increase was not due to any specific device, but rather an across-the-board increase affecting all non-Android and non-iOS devices.
At 18%, advertising was the most common vector of mobile device encounters, followed by business-related sites at 13% and video-related sites at 11% of mobile device encounters. For comparison purposes, in February 2014, sites in the business category were the most common vector of mobile device encounters (20%), followed by advertising (13%) and personal sites (8%). Video came in fourth in February, at 7%.
Pharmaceutical & Chemical remained at 1100% of median risk for web malware encounters in March 2014, the same rate experienced in February. Companies in the Entertainment vertical experienced an increase from 321% in February to 643% in March. The Energy, Oil & Gas vertical increased from a rate of 276% in February to 397% in March.
To assess vertical risk, we first calculate the median encounter rate for all enterprises, and then calculate the median encounter rate for all enterprises in a particular vertical, then compare the two. A rate higher than 100% is considered an increased risk.
Following a 73% increase from January to February, spam volumes increased another 45% in March to an average of 207 billion spam messages per day.
The top five global spam senders in February 2014 were the United States at 8%, followed by the Republic of Korea at 5%, Russian Federation at 3%, China at 2%, and Ukraine at 1%.
Tags: CSIRT, malware, metrics, security, Threat Metrics 2014, TRAC
Cisco’s network is a massively complex environment that requires extensive monitoring and remediation. In today’s world of advanced threats and attacks, the company that possesses and positions its tools to preemptively identify and mitigate threats is the one left standing when the dust settles.
Cisco leverages its Computer Security Incident Response Team (CSIRT), a global organization comprised of information security professionals, to monitor, investigate, and respond to cyber security incidents 24×7. The Cisco CSIRT team forms part of the investigative branch of Cisco’s Information Security organization, protecting Cisco from security threats and the loss of its intellectual assets.
With a variety of security tools, CSIRT is able to detect and analyze malicious traffic throughout the network, including virus propagation, targeted attacks, and commonplace exploits. Because CSIRT continually identifies new security threats, the team needs some historical look-back at what occurred on the network. They also need a solution that can dissect the finer details of security incidents while facing the ever-present restrictions with data storage. StealthWatch, a NetFlow monitoring solution from Cisco partner Lancope, contains unique storage, interactivity, and parsing capabilities, to provide a more concise set of data for analysis.
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Tags: CSIRT, cybersercurity, incident response, Lancope
Web surfers in February 2014 experienced a median malware encounter rate of 1:341 requests, compared to a January 2014 median encounter rate of 1:375. This represents a 10% increase in risk of encountering web-delivered malware during the second month of the year. February 8, 9, and 16 were the highest risk days overall, at 1:244, 1:261, and 1:269, respectively. Interestingly, though perhaps not unexpectedly, web surfers were 77% more likely to encounter Facebook scams on the weekend compared to weekdays. 18% of all web malware encounters in February 2014 were for Facebook related scams.
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Tags: CSIRT, malware, security, Threat Metrics 2014, TRAC
January 2014 started with a bang, with one in every 191 web requests resulting in a web malware encounter. The Cisco Computer Security Incident Response Team (CSIRT) observed this same trend, witnessing a 200% increase in web malware encounters experienced by Cisco employees for the month. Overall, January 1, 25, and 26 were the highest risk days for encountering web delivered malware. In the chart below, the lower the number, the higher the risk of encounters. Still, with a median encounter rate of 1:375 requests, every day of January 2014 represented significant risk for web browsing.
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Tags: 2014 annual security report, CSIRT, malware, Threat Metrics 2014, TRAC
Security intelligence, threat intelligence, cyber threat intelligence, or “intel” for short is a popular topic these days in the Infosec world. It seems everyone has a feed of “bad” IP addresses and hostnames they want to sell you, or share. This is an encouraging trend in that it indicates the security industry is attempting to work together to defend against known and upcoming threats. Many services like Team Cymru, ShadowServer, ThreatExpert, Clean MX, and Malware Domain List offer lists of known command and control servers, dangerous URIs, or lists of hosts in your ASN that have been checking-in with known malicious hosts. This is essentially outsourced or assisted incident detection. You can leverage these feeds to let you know what problems you already have on your network, and to prepare for future incidents. This can be very helpful, especially for organizations with no computer security incident response teams (CSIRT) or an under-resourced security or IT operations group.
There are also commercial feeds which range anywhere from basic notifications to full-blown managed security solution. Government agencies and industry specific organizations also provide feeds targeted towards specific actors and threats. Many security information and event management systems (SIEMs) offer built-in feed subscriptions available only to their platform. The field of threat intelligence services is an ever-growing one, offering options from open source and free, to commercial and classified. Full disclosure: Cisco is also in the threat intelligence business
However the intent of this article is not to convince you that one feed is better than another, or to help you select the right feed for your organization. There are too many factors to consider, and the primary intention of this post is to make you ask yourself, “I have a threat intelligence feed, now what?” Read More »
Tags: cisco sio, CSIRT, csirt-playbook, cybersecurity, incident response, infosec, operational security, security, security intel