Displaying Incoming Server Attacks By Giving Server Logs A Scoreboard

September 23, 2020 by Bryan Cockfield 9 Comments

In the server world, it’s a foregone conclusion that ports shouldn’t be exposed to the greater Internet if they don’t need to be. There are malicious bots everywhere that will try and randomly access anything connected to a network, and it’s best just to shut them off completely. If you have to have a port open, like 22 for SSH, it’ll need to be secured properly and monitored so that the administrator can keep track of it. Usually this is done in a system log and put to the side, but [Nick] wanted a more up-front reminder of just how many attempts were being made to log into his systems.

This build actively monitors attempts to log into his server on port 22 and notifies him via a numerical display and series of LEDs. It’s based on a Raspberry Pi Zero W housed in a 3D-printed case, and works by interfacing with a program called fail2ban running on the server. fail2ban‘s primary job is to block IP addresses that fail a certain number of login attempts on a server, but being FOSS it can be modified for situations like this. With some Python code running on the Pi, it is able to gather data fed to it from fail2ban and display it.

[Nick] was able to see immediate results too. Within 24 hours he saw 1633 login attempts on a server with normal login enabled, which was promptly shown on the display. A video of the counter in action is linked below. You don’t always need a secondary display if you need real-time information on your server, though. This Pi server has its own display built right in to its case.

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ESP8266 Turned Secretive WiFi Probe Request Sniffer

September 20, 2020 by Danie Conradie 21 Comments

When a Wi-Fi device is switched on, it starts spewing out probe requests to try and find a familiar access point. These probe requests contain the device’s MAC address and the SSID of the hotspot it’s looking for, which can potentially be used to identify a specific device and where it’s been. After experimenting with these probe requests, [Amine Mehdi Mansouri] has created OpenMAC, a tiny ESP8266 based sniffer that could be hidden anywhere.

The device consists of an ESP-07S module, a regulator circuit for getting power from a USB-C connector, and a button for power cycling. An external antenna is required for the module, which can be selected based on the size or gain requirements for a specific deployment. [Amine] tested the OpenMAC at a local library (with permission), in combination with a number of his own little Wi-Fi repeaters to expand the reach of the network. All the recorded MAC addresses were logged to a server, where the data can be used for traffic analysis in and around the library, or even for tracking and locating specific devices.

This is nothing new, and is relatively common technique used for gathering information in retail locations, and could be also be used for more nefarious purposes. Newer versions of iOS, Android, and Windows 10 feature MAC address randomization which can limit the ability to track devices in this manner, but it isn’t always activated.

We’ve seen a number of projects that exploit probe requests. FIND-LF can be used for locating devices in your home, and Linger fools probe requests sniffers by replaying previously recorded requests.

This Week In Security: AD Has Fallen, Two Factor Flaws, And Hacking Politicians

September 18, 2020 by Jonathan Bennett 19 Comments

The big news this week is the huge flaw in Microsoft’s Active Directory, CVE-2020-1472 (whitepaper). Netlogon is a part of the Windows domain scheme, and is used to authenticate users without actually sending passwords over the network. Modern versions of Windows use AES-CFB8 as the cryptographic engine that powers Netlogon authentication. This peculiar mode of AES takes an initialization vector (IV) along with the key and plaintext. The weakness here is that the Microsoft implementation sets the IV to all zeros.

It’s worth taking a moment to cover why IVs exist, and why they are important. The basic AES encryption process has two inputs: a 128 bit (16 byte) plaintext, and a 128, 192, or 256 bit key. The same plaintext and key will result in the same ciphertext output every time. Encrypting more that 128 bits of data with this naive approach will quickly reveal a problem — It’s possible to find patterns in the output. Even worse, a clever examination of the patterns could build a decoding book. Those 16 byte patterns that occur most often would be guessed first. It would be like a giant crossword puzzle, trying to fill in the gaps.

This problem predates AES by many years, and thankfully a good solution has been around for a long time, too. Cipher Block Chaining (CBC) takes the ciphertext output of each block and mixes it (XOR) with the plaintext input of the next block before encrypting. This technique ensures the output blocks don’t correlate even when the plaintext is the same. The downside is that if one block is lost, ~~the entire rest of the data cannot be decrypted~~ Update: [dondarioyucatade] pointed out in the comments that it’s just the next block that is lost, not the entire stream. You may ask, what is mixed with the plaintext for the first block? There is no previous block to pull from, so what data is used to initialize the process? Yes, the name gives it away. This is an initialization vector: data used to build the initial state of a crypto scheme. Generally speaking, an IV is not secret, but it should be randomized. In the case of CBC, a non-random IV value like all zeros doesn’t entirely break the encryption scheme, but could lead to weaknesses. Continue reading “This Week In Security: AD Has Fallen, Two Factor Flaws, And Hacking Politicians” →

GitHub’s Move Away From Passwords: A Sign Of Things To Come?

September 15, 2020 by Maya Posch 69 Comments

Later this month, people who use GitHub may find themselves suddenly getting an error message while trying to authenticate against the GitHub API or perform actions on a GitHub repository with a username and password. The reason for this is the removal of this authentication option by GitHub, with a few ‘brown-out’ periods involving the rejection of passwords to give people warning of this fact.

This change was originally announced by GitHub in November of 2019, had a deprecation timeline assigned in February of 2020 and another blog update in July repeating the information. As noted there, only GitHub Enterprise Server remains unaffected for now. For everyone else, as of November 13th, 2020, in order to use GitHub services, the use of an OAuth token, personal token or SSH key is required.

While this is likely to affect a fair number of people who are using GitHub’s REST API and repositories, perhaps the more interesting question here is whether this is merely the beginning of a larger transformation away from username and password logins in services.

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Security This Week: Racoons In My TLS, Bypassing Frontends, And Obscurity

September 11, 2020 by Jonathan Bennett 7 Comments

Raccoon is the next flashy security flaw with a name, cute logo, and a website (and a PDF). Raccoon is a flaw in TLS version prior to 1.3, and seems to be a clever bit of work, albeit one with limited real-world application. The central problem is that these older versions of TLS, when using Diffie Hellman (DH), drop leading all-zero bytes in the resulting pre-master key. As that key is part of the input for calculating the master session key, a shortened pre-master key results in a slightly faster calculation of the master key. If an attacker can make fine-grained timing measurements, he can determine when the pre-master key is trimmed.

Let’s review Diffie Hellman, briefly. The client and server agree on two numeric values, a base g and modulus p, and each party generates a secret key, a and b. Each party calculates a public key by raising the shared base to their own private key, mod the shared modulus: A = g^a mod p. These public keys are exchanged, and each party raises the received key to their own secret key: A^b. Exponents have a non-obvious quirk, the power rule. A value raised to a power raised to a power is the same as the value raised to the power of the exponents multiplied together. g^a^b is equal to g^(a*b). By going through this mathematical dance, the server and client have arrived at a shared value that only they know, while preserving the secrecy of their private keys. Continue reading “Security This Week: Racoons In My TLS, Bypassing Frontends, And Obscurity” →

ESP32 Hash Monster Fills Pockets With Packets

September 8, 2020 by Tom Nardi 4 Comments

Unless you’re reading this from the middle of the ocean or deep in the forest, it’s a pretty safe bet there’s WiFi packets zipping all around you right now. Capturing them is just a matter of having the right hardware and software, and from there, you can get to work on cracking the key used to encrypt them. While such things can obviously have nefarious connotations, there are certainly legitimate reasons for auditing the strength of the wireless networks in the area.

It might not have the computational horsepower to crack any encryption itself, but the ESP32 M5Stack is more than up to the task of capturing WiFi packets if you install the Hash Monster firmware developed by [G4lile0]. Even if you don’t intend on taking things farther, this project makes finding WiFi access points and grabbing their packets a fascinating diversion with the addition of a few graphs and an animated character (the eponymous monster itself) that feeds on all those invisible 1s and 0s in the air.

There’s some excellent documentation floating around that shows you the start to finish process of popping open a WiFi network with the help of Hash Monster, but that’s only the beginning of what’s possible with this gadget. A quick search uncovers a number of software projects that make use of the specific advantages of the M5Stack compared to more traditional ESP32 boards, namely the built-in screen, buttons, and battery. We’ve even seen it used in a few builds here on Hackaday, such as this DIY thermal camera and custom shipboard computer system.

[Thanks to Manuel for the tip.]

This Week In Security: Zero Days, Notarized Malware, Jedi Mind Tricks, And More

September 4, 2020 by Jonathan Bennett 5 Comments

Honeypots are an entertaining way to learn about new attacks. A simulated vulnerable system is exposed to the internet, inviting anyone to try to break into it. Rather than actually compromising a deployed device, and attacker just gives away information about how they would attack the real thing. A honeypot run by 360Netlab found something interesting back in April: an RCE attack against QNAP NAS devices. The vulnerability is found in the logout endpoint, which takes external values without properly sanitizing them. These values are used as part of an snprintf statement, and then executed with a system() call. Because there isn’t any sanitization, special characters like semicolons can be injected into the final command to be run, resulting in a trivial RCE.

QNAP has released new firmware that fixes the issue by replacing the system() call with execv(). This change means that the shell isn’t part of the execution process, and the command injection loses its bite. Version 4.3.3 was the first firmware release to contain this fix, so if you run a QNAP device, be sure to go check the firmware version. While this vulnerability was being used in the wild, there doesn’t seem to have been a widespread campaign exploiting it.

Continue reading “This Week In Security: Zero Days, Notarized Malware, Jedi Mind Tricks, And More” →