Misc

Whitepaper Endpoint Management & Monitoring Solutions Released

Over the course of the last 2 years we performed vulnerability research on several Endpoint Management & Monitoring Solutions. The results were already partially presented in security advisories which were published on this blog during the last two years. The advisories can be found here:

We also recently presented the results on Troopers 2022. Now the results have been published in a more in-depth manner in the form of a technical whitepaper. The whitepaper can be found here.

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Breaking, Misc

Security Advisories for Broadcom Automic Automation (UC4)

In April 2021 we reported seven vulnerabilities in Broadcom Automic Automation (UC4) 12.3.5+hf.3. CVE IDs were assigned on 16.06.22, the corresponding Broadcom Security Notice can be found here.

The vulnerabilities have been found in the course of a research project, in which we analyzed the security of multiple Endpoint Management solutions. Similar vulnerabilities have been found in other solutions as we pointed out in previous posts about the Ivanti DSM Suite, Nagios XI, and Solarwinds N-Central.  The outcome of the research project will be published as a whitepaper and a conference talk at Troopers 2022.

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Misc

Solving client-side controls once and for all

Missing server-side validation consistently scores a place in the OWASP Top 10. Browsers nowadays offer a lot of ways to easily implement client-side controls, increasing the usability by a lot. They automatically detect missing fields or invalid characters in your input fields and may even validate user input against a regular expressions.

However, these controls should only be considered as usability features. When sending data to a back-end system the application must always ensure data integrity by implementing encodings, validations and filters. Even for small applications this is a painful and tedious process. For each possible input, developers together with security experts have to carefully identify the context of each field, how the input is going to be used and what data requirements are present.

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Misc

A Tale of an OFTP2 Vulnerability

This is a guest post from Thomas Smits.

A long time ago in a galaxy far, far away….

In my ordinary life, I teach computer science at the University of Applied Sciences in Mannheim but for some months, I was an intern at ERNW learning a lot about IT security and penetration testing. One of these learnings is that old protocols can be fun and breaking them even more. But let’s start at the beginning of the story…

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Building

Release of PTE Analysis plugins for Volatility 3

I’m happy to announce the release of several plugins for Volatility 3 that allow you to dig deeper into the memory analysis. One of those plugins is PteMalfind, which is essentially an improved version of malfind. Another one is PteResolve which, similarly to the WinDBG command !pte, allows you to inspect Page Table Entry (PTE) information for e.g., a given virtual address. In this blog post we will have a closer look at these and more plugins, and the PteEnumerator base class and what you can do with it. The memory dump used for this blog post is available here. Some of the injection tools used in this blog post can be gathered from here.

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Breaking, Misc

Change Your BLE Passkey Like You Change Your Underwear

Using a static passkey for Bluetooth Low Energy pairing is insecure. Recent versions of the Bluetooth specification contain an explicit warning about this. However, in practice, we often see static passkeys being used. Moreover, there are no public implementations of proofs-of-concept that can practically show why using a static passkey is an issue. This is why we implemented one.

In a recent assessment, we were testing a device that offered a Bluetooth interface for data export and configuration. This device uses Bluetooth Low Energy (BLE), and a static passkey (or PIN) is required to pair with it. This passkey is displayed for a few seconds when the device is booted and stays the same on each reboot. In fact, it is derived from static, device-specific data.

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Breaking

ManiMed: Ypsomed AG – mylife YpsoPump System Vulnerabilities

The Federal Office for Information Security (BSI) aims to sensitize manufacturers and the public regarding security risks of networked medical devices in Germany. In response to the often fatal security reports and press releases of networked medical devices, the BSI initiated the project Manipulation of Medical Devices (ManiMed) in 2019. In this project, a security analysis of selected products is carried out through security assessments followed by Coordinated Vulnerability Diclosure (CVD) processes. The project report was published on December 31, 2020, and can be accessed on the BSI website [1].

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Misc

Analysis of HSTS Caches of Different Browsers

I recently stumbled upon a strange behavior in my Firefox: I visited an HTTPS-enabled website that I had visited before and saw that my Firefox connected insecurely via HTTP. I found that strange because nowadays, most websites set the HSTS header, which is supposed to force the browser to connect via HTTPS. I checked whether this website set the HSTS header – and it did. This means my Firefox was ignoring/forgetting about the HSTS header right after my visit.

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Breaking, Misc

Attack llvmpipe Graphics Driver from Chromium

In this post, we are discussing a bug we came across in Mesas llvmpipe Gallium3D graphics driver. This bug was accessible through Chromium’s WebGL implementation and can provide control of the program counter (pc) within Chromium’s GPU process if llvmpipe is used. Llvmpipe is a software rasterizer that is used on Linux if no hardware acceleration (graphics card) is available. This is a pretty rare edge case as llvmpipe has no widespread use. An estimate by Google is that approx 0.06% of the Chromium users are affected by this. However, as this is a simple but valid Chromium bug, we want to give you a quick walkthrough. The issue is tracked as CVE-2021-21153 and was fixed in February 2020.

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Misc

DogWhisperer's SharpHound Cheat Sheet

BloodHound data collection, aka Sharphound, is quite a complex beast.
When giving BloodHound workshops, the part where I get the most questions is always data collection.
How is the BloodHound data collected? What methods do what? Who am I talking to? How do I fly under the radar?

These are all very relevant questions when you think about it.
After all, the rest is just a gorgeous UI sitting on top of a cool data model, but the only bit of BloodHound code that ever touches the targeted network is SharpHound. And so questions about it should be mandatory.
Now even thought I’ve been working with BloodHound for quite a while, there is always this moment where I have to check before answering… (I feel the older I get, the quicker I understand, but the less I remember… but that’s another story I guess…)

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