Saturday, May 27, 2023

Introduction To Reversing Golang Binaries


Golang binaries are a bit hard to analyze but there are some tricks to locate the things and view what is doing the code.






Is possible to list all the go files compiled in the binary even in an striped binaries, in this case we have only one file gohello.go this is a good clue to guess what is doing the program.


On stripped binaries the runtime functions are not resolved so is more difficult to locate the user algorithms:


If we start from the entry point, we will found this mess:

The golang string initialization are encoded and is not displayed on the strings window.


How to locate main?  if its not stripped just bp on [package name].main for example bp main.main, (you can locate the package-name searching strings with ".main")


And here is our main.main:


The code is:

So in a stripped binary we cant find the string "hello world" neither the initialization 0x1337 nor the comparator 0x1337, all this is obfuscated.

The initialization sequence is:


The procedure for locating main.main in stripped binaries is:
1. Click on the entry point and locate the runtime.mainPC pointer:



2. click on runtime.main function (LAB_0042B030):


3. locate the main.main call after the zero ifs:



4. click on it and here is the main:




The runtime is not obvious for example the fmt.Scanf() call perform several internal calls until reach the syscall, and in a stripped binary there are no function names.



In order to identify the functions one option is compile another binary with symbols and make function fingerprinting.

In Ghidra we have the script golang_renamer.py which is very useful:


After applying this plugin the main looks like more clear:




This script is an example of function fingerprinting, in this case all the opcodes are included on the crc hashing:
# This script fingerprints the functions
#@author: sha0coder
#@category fingerprinting

print "Fingerprinting..."

import zlib


# loop through program functions
function = getFirstFunction()
while function is not None:
name = str(function.getName())
entry = function.getEntryPoint()
body = function.getBody()
addresses = body.getAddresses(True)

if not addresses.hasNext():
# empty function
continue

ins = getInstructionAt(body.getMinAddress())
opcodes = ''
while ins and ins.getMinAddress() <= body.getMaxAddress():
for b in ins.bytes:
opcodes += chr(b & 0xff)
ins = getInstructionAfter(ins)
crchash = zlib.crc32(opcodes) & 0xffffffff

print name, hex(crchash)


function = getFunctionAfter(function)





More info

How To Start | How To Become An Ethical Hacker

Are you tired of reading endless news stories about ethical hacking and not really knowing what that means? Let's change that!
This Post is for the people that:

  • Have No Experience With Cybersecurity (Ethical Hacking)
  • Have Limited Experience.
  • Those That Just Can't Get A Break


OK, let's dive into the post and suggest some ways that you can get ahead in Cybersecurity.
I receive many messages on how to become a hacker. "I'm a beginner in hacking, how should I start?" or "I want to be able to hack my friend's Facebook account" are some of the more frequent queries. Hacking is a skill. And you must remember that if you want to learn hacking solely for the fun of hacking into your friend's Facebook account or email, things will not work out for you. You should decide to learn hacking because of your fascination for technology and your desire to be an expert in computer systems. Its time to change the color of your hat 😀

 I've had my good share of Hats. Black, white or sometimes a blackish shade of grey. The darker it gets, the more fun you have.

If you have no experience don't worry. We ALL had to start somewhere, and we ALL needed help to get where we are today. No one is an island and no one is born with all the necessary skills. Period.OK, so you have zero experience and limited skills…my advice in this instance is that you teach yourself some absolute fundamentals.
Let's get this party started.
  •  What is hacking?
Hacking is identifying weakness and vulnerabilities of some system and gaining access with it.
Hacker gets unauthorized access by targeting system while ethical hacker have an official permission in a lawful and legitimate manner to assess the security posture of a target system(s)

 There's some types of hackers, a bit of "terminology".
White hat — ethical hacker.
Black hat — classical hacker, get unauthorized access.
Grey hat — person who gets unauthorized access but reveals the weaknesses to the company.
Script kiddie — person with no technical skills just used pre-made tools.
Hacktivist — person who hacks for some idea and leaves some messages. For example strike against copyright.
  •  Skills required to become ethical hacker.
  1. Curosity anf exploration
  2. Operating System
  3. Fundamentals of Networking
*Note this sites





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Why Receipt Notifications Increase Security In Signal

This blog post is aimed to express and explain my surprise about Signal being more secure than I thought (due to receipt acknowledgments). I hope you find it interesting, too.

Signal, and especially its state update protocol, the Double Ratchet algorithm, are widely known for significantly increasing security for instant messaging. While most users first see the end-to-end security induced by employing Signal in messaging apps, the properties achieved due to ratcheting go far beyond protecting communication against (active) attackers on the wire. Due to updating the local device secrets via the Double Ratchet algorithm, the protocol ensures that attackers, who temporarily obtain a device's local storage (on which Signal runs), only compromise confidentiality of parts of the communications with this device. Thus, the leakage of local secrets from a device only affects security of a short frame of communication. The exact duration of compromise depends on the messaging pattern among the communicating parties (i.e., who sends and receives when), as the state update is conducted during the sending and receiving of payload messages.


The Double Ratchet

The Double Ratchet algorithm consists of two different update mechanisms: the symmetric ratchet and the asymmetric ratchet. The former updates symmetric key material by hashing and then overwriting it with the hash output (i.e.,  k:=H(k)). Thus, an attacker, obtaining key material can only predict future versions of the state but, due to the one-wayness of the hash function, cannot recover past states. The asymmetric ratchet consists of Diffie-Hellman key exchanges (DHKE). If, during the communication, party A receives a new DH share gb as part of a message from the communication partner B, then A samples a new DH exponent a and responds with the respective DH share ga in the next sent message. On receipt of this DH share, B will again sample a new DH exponent b' and attach the DH share gb' to the next message to A. With every new DH share, a new DHKE gab is computed among A and B and mixed into the key material (i.e., k:=H(k,gab)). For clarity, I leave out a lot of details and accuracy. As new DH shares ga and gb are generated from randomly sampled DH exponents a and b, and the computation of gab is hard if neither a nor b are known, the key material recovers from an exposure of the local secrets to an attacker after a new value gab was freshly established and mixed into it. Summing up this mechanism, if an attacker obtains the local state of a Signal client, then this attacker cannot recover any previously received message (if the message itself was not contained in the local state), nor can it read messages that are sent after a new gab was established and mixed into the state. The latter case happens with every full round-trip among A and B (i.e., A receives from B, A sends to B, and A receives again from B).
Conceptual depiction of Double Ratchet in Signal two years ago (acknowledgments were only protected between client and server). The asymmetric ratchet fully updates the local secrets after one round-trip of payload messages.

Research on Ratcheting

During the last two years, the Signal protocol inspired the academic research community: First, a formal security proof of Signal was conducted [1] and then ratcheting was formalized as a generic primitive (independent of Signal) [2,3,4]. This formalization includes security definitions that are derived via 1. defining an attacker, 2. requiring security unless it is obvious that security cannot be reached. Protocols, meeting this optimal notion of security, were less performant than the Double Ratchet algorithm [3,4]. However, it became evident that the Double Ratchet algorithm is not as secure as it could be (e.g., recovery from exposure could be achieved quicker than after a full round-trip; see, e.g., Appendix G of our paper [3]). Afterwards, protocols (for slightly weakened security notions) were proposed that are similarly performant as Signal but also a bit more secure [5,6,7].

Protecting Acknowledgments ...

In our analysis of instant messaging group chats [8] two years ago (blog posts: [9,10]), we found out that none of the group chat protocols (Signal, WhatsApp, Threema) actually achieves real recovery from an exposure (thus the asymmetric ratchet is not really effective in groups; a good motivation for the MLS project) and that receipt acknowledgments were not integrity protected in Signal nor WhatsApp. The latter issue allowed an attacker to drop payload messages in transmission and forge receipt acknowledgments to the sender such that the sender falsely thinks the message was received. Signal quickly reacted on our report by treating acknowledgments as normal payload messages: they are now authenticated(-encrypted) using the Double Ratchet algorithm.

... Supports Asymmetric Ratchet

Two years after our analysis, I recently looked into the Signal code again. For a training on ratcheting I wanted to create an exercise for which the lines in the code should be found that execute the symmetric and the asymmetric ratchet respectively. Somehow I observed that the pure symmetric ratchet (only updates via hash functions) was nearly never executed (especially not when I expected it) when lively debugging the app but almost always new DH shares were sent or received. I realized that, due to encrypting the receipt acknowledgments now, the app always conducts full round-trips with every payload message. In order to observe the symmetric ratchet, I needed to temporarily turn on the flight mode on my phone such that acknowledgments are not immediately returned.
Conceptual depiction of Double Ratchet in Signal now (acknowledgments encrypted). The asymmetric ratchet fully updates the local secrets after an acknowledgment for a message is received.

Consequently, Signal conducts a full DHKE on every sent payload message (in case the receiving device is not offline) and mixes the result into the state. However, a new DH exponent is always already sampled on the previous receipt (see sketch of protocol above). Thus, the exponent for computing a DHKE maybe remained in the local device state for a while. In order to fully update the state's key material, two round-trips must be initiated by sending two payload messages and receiving the resulting two acknowledgments. Please note that not only the mandatory receipt acknowledgments are encrypted but also notifications on typing and reading a message.

If you didn't understand exactly what that means, here a tl;dr: If an attacker obtains your local device state, then with Signal all previous messages stay secure and (if the attacker does not immediately use these secrets to actively manipulate future conversations) all future messages are secure after you wrote two messages (and received receipt acknowledgments) in all of your conversations. Even though this is very (in practice certainly sufficiently) secure, recent protocols provide stronger security (as mentioned above) and it remains an interesting research goal to increase their performance.

[1] https://eprint.iacr.org/2016/1013.pdf
[2] https://eprint.iacr.org/2016/1028.pdf
[3] https://eprint.iacr.org/2018/296.pdf
[4] https://eprint.iacr.org/2018/553.pdf
[5] https://eprint.iacr.org/2018/889.pdf
[6] https://eprint.iacr.org/2018/954.pdf
[7] https://eprint.iacr.org/2018/1037.pdf
[8] https://eprint.iacr.org/2017/713.pdf
[9] https://web-in-security.blogspot.com/2017/07/insecurities-of-whatsapps-signals-and.html
[10] https://web-in-security.blogspot.com/2018/01/group-instant-messaging-why-baming.html

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