Monitorr 1.7.6m Exploit

[Renita Lukins]

TheExploit Database is maintained by OffSec, an information security training company that provides various Information Security Certifications as well as high end penetration testing services. The Exploit Database is a non-profit project that is provided as a public service by OffSec.

The Exploit Database is a CVE compliant archive of public exploits and corresponding vulnerable software, developed for use by penetration testers and vulnerability researchers. Our aim is to serve the most comprehensive collection of exploits gathered through direct submissions, mailing lists, as well as other public sources, and present them in a freely-available and easy-to-navigate database. The Exploit Database is a repository for exploits and proof-of-concepts rather than advisories, making it a valuable resource for those who need actionable data right away.

The Google Hacking Database (GHDB) is a categorized index of Internet search engine queries designed to uncover interesting, and usually sensitive, information made publicly available on the Internet. In most cases, this information was never meant to be made public but due to any number of factors this information was linked in a web document that was crawled by a search engine that subsequently followed that link and indexed the sensitive information.

After nearly a decade of hard work by the community, Johnny turned the GHDB over to OffSec in November 2010, and it is now maintained as an extension of the Exploit Database. Today, the GHDB includes searches for other online search engines such as Bing, and other online repositories like GitHub, producing different, yet equally valuable results.

CQR Exploit Monitoring - is a system designed to collect technologies and services on a website and search for their vulnerabilities, exploits and news. This tool allows this process to be carried out at an automated level. Its relevance is confirmed by the absence of such tools in the world. Of course, there are great databases with vulnerabilities, but they are only suitable for manual use, as they are not able to filter search results.

The data collection process consists of 4 steps:

1. Gathering technologies and services used on the site

2. Search for vulnerabilities and exploits in databases around the world

3. Search for news about technologies and services vulnerabilities

4. Finds interesting information, does an analysis of it, filters and does an additional search based on machine learning, and provides additional information.

At this stage, technologies and services are collected. Technologies are collected via the use of webanalyzer and wappalyzer services. And the collection of services is carried out using cli tools, e.g. nmap, netcat, curl and so on. Information about the technology includes its name and version, while information about the service includes the name of the product, port number, protocol name, cpe and banner.

At this stage, a exploit search for the collected technologies and services is performed. The sources used are Vulners and the Chinese National Vulnerability Database. Vulners is one of the largest database aggregators in the world, so it was taken as the initial source.

The system is trying to find vulnerabilities and exploits for each service and technology. Whether the system is vulnerable to a particular exploit or not, helps to establish specially developed algorithms for analyzing exploit headers. Thus, the system finds exploits in which the range of vulnerable versions includes a version of the technology or service found.

The system also finds exploits in which a specific range of vulnerable versions is not specified, and exploits whose range of vulnerable versions is higher or lower than the technology / service version.

exploits with lower version range (for Apache

If the software version is not included in the range of exploit destination versions, the exploits that are closest to the software version are selected. All exploits and vulnerabilities are also searched from the newest to the oldest.

Also, histograms are used to display the results, which count: the number of exploits by the exact occurrence of the version, exploits for the version higher / lower than the software version, exploits without specifying vulnerable versions, nmap scripts and metasploit modules. In addition to histograms, doughnut charts are used that calculate the number of exploits by cvss score or risk level.

At this stage, a CVE search for the collected technologies and services is performed. The sources used are Vulners and the Chinese National Vulnerability Database. Vulners is one of the largest database aggregators in the world, so it was taken as the initial source.

The system is trying to find CVE's for each service and technology. Whether the system is vulnerable to a particular exploit or not, helps to establish specially developed algorithms for analyzing exploit headers. Thus, the system finds exploits in which the range of vulnerable versions includes a version of the technology or service found.

One of the features of vulnerability monitoring is searching for news related to technology vulnerabilities. We believe this feature provides the user with knowledge of all vulnerabilities before attackers decide to exploit it. The search for news is carried out by using the NewsAPI service and searching for github repositories by keywords.

As a result, the user receives vulnerabilities, CVEs, exploits and POCs. Let's say the user has found a new vulnerability. This means that soon someone will come up with an exploit for it and the software will be hacked.

This module exploits an arbitrary file upload vulnerability and achieving an RCE in the Monitorr application. Using a specially crafted request, custom PHP code can be uploaded and injected through endpoint upload.php because of missing input validation. Any user privileges can exploit this vulnerability and it results in access to the underlying operating system with the same privileges under which the web services run (typically user www-data). Monitorr 1.7.6m, 1.7.7d and below are affected.

While the security flaws have not yet been publicly exploited, as we mentioned at the outset, the worrying part is that CISA observes that they only require a (relatively) low level of skill to exploit, and the vulnerabilities are remotely exploitable.

GE Healthcare has already issued a statement to say: We are instructing the facilities where these devices are located to follow network management best practices and are developing a software patch with additional security enhancements.

Darren is a freelancer writing news and features for TechRadar (and occasionally T3) across a broad range of computing topics including CPUs, GPUs, various other hardware, VPNs, antivirus and more. He has written about tech for the best part of three decades, and writes books in his spare time (his debut novel - 'I Know What You Did Last Supper' - was published by Hachette UK in 2013).

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The Health Monitor is a Play wherein you and your team will discuss how well you meet these 8 attributes, and make a plan to continuously improve. Doing a Health Monitor on a regular basis will help you move along your journey to becoming a dream team.

As the meeting facilitator, book 60 - 90 minutes with your team to run this Play. Send your team a short description of what this Play will entail, and take the time to review the attributes on your own so that you can communicate them to your team. If you will be doing this Play remotely, make a copy of our Trello template for use during the Play and invite your team.

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