API Vulnerability Data The sensor network that our partner Lorkya maintains found only 0.1% of attack traffic was definitively looking for API vulnerabilities. However, this is probably better attributed to the limitations of the sensor network than any trends about API attacks. Loryka’s sensors primarily detect wide-ranging probes and reconnaissance campaigns where attackers are looking…
Read MoreThe next step in this process is to convert the decrypted and decompressed data file from binary into a human readable format. The following python snippet provides a regular expression that will roughly split the injects from one another: import re regex_res = re.split(‘[x00]{1}[x00-xff]{7}[x00]{2}[x01-xff]{1}’, data[7:]) The steps outlined here can be used on the different…
Read MoreIn part one, we laid out how we should react when our organization tells us they want to roll out a mobile app. Short answer: don’t say no, but instead ask lots of questions. After that, we built a threat model that includes the mobile-specific twists on traditional IT security problems. Using this model, we…
Read MoreThe US Department of Homeland Security Cybersecurity and Infrastructure Security Agency (DHS CISA) has cited ransomware as “the most visible cybersecurity risk” attacking American IT systems. I think that’s a valid statement, since “most visible” doesn’t necessarily mean largest or most devastating, but it does still qualify ransomware as a significant threat. Indeed, it seems…
Read MoreIntroduction Ten months ago we asked a rhetorical question: will losses from cryptocurrency exchange hacks hit one billion dollars in 2018? Indeed, they did. Cryptocurrency theft is growing both in terms of frequency of attacks and breadth of targets. Attackers aren’t just cryptojacking and targeting exchanges. According to endpoint security provider Carbon Black, $1.1 billion…
Read MoreWe’re finishing up our series on what to do when your organization tells you they want to roll out a mobile app. In part one, we asked lots of questions so we could do a thorough risk and requirements analysis. In part two, we used that information to define security requirements and ensure that we…
Read MoreDuring June and July, F5 researchers first noticed Trickbot campaigns aimed at a smaller set of geographically oriented targets and did not use redirection attacks—a divergence from previous Trickbot characteristics. In this research, we compared two different target configurations, one older, more “traditional” configuration that uses redirection, and a new Trickbot configuration that does not…
Read MoreWhile analyzing this script which downloads and executes the cryptominer, F5 researchers found that the code is sophisticated, well obfuscated, and long—about 200 lines versus the typical 20 or so lines. The authors clearly put a lot of time and attention into every step, from developing the malware dropper to creating the executable JAR file…
Read MoreIn many organizations, building and securing apps has typically been a siloed affair. The product owner, the network engineer, the developer and the security engineer all come from different teams. And all too often, these teams become fiefdoms that believe their focus is the company’s primary objective. Today with Agile and DevOps moving faster and…
Read MoreFurther analysis on this sample was not conducted. F5 Labs has reported extensively on the Mirai botnet, IoT landscape, and some of its variants. For a detailed breakdown on current Mirai botnets seen in the threat landscape, the Hunt for IoT Research Series publishes current threat data. Conclusion All of the vulnerabilities targeted this month…
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