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The Veil Framework is a
collection of tools designed for use during offensive security
testing. When the time calls for it, Mandiant’s Red Team will use the Veil-Framework
to help achieve their objective.  The most commonly used tool is
Veil-Evasion, which can turn an arbitrary script or piece of shellcode
into a Windows executable that will evade detections by common
antivirus products.

Veil 2.0 was made publicly available on June 17, 2013, and the core
framework has remained largely unchanged since that date. There have
been some modifications to the framework itself, but these have
generally been minor in nature, with the majority of modifications
involving the support of new programming languages and new payload modules.

After spending a few years developing in Python, I revisited the
Veil codebase and identified parts of the backend framework that could
be developed more efficiently. Six months later, after refactoring the
codebase and adding a large number of updates, I am happy to present
Veil 3.0. The
main menu is shown in Figure 1.

Figure 1: Veil 3 main menu

Python 3

First and foremost, one of the largest overhauls to Veil was
updating the version of Python from Python 2 to Python 3. Python 2 is
scheduled to reach end-of-life (EOL) in 2020, so it did not make much
sense to spend time performing a large update to Veil in a language
that will no longer be supported in three years.

Updating Veil from Python 2 to Python 3 was easily the most
time-consuming part of creating Veil 3. Running the 2to3 tool was
not an option; the conversion process required manual review for
essentially all changes to Veil.

One of the major differences when developing Veil in Python 3 vs.
Python 2 is how shellcode is handled and modified. To illustrates this
issue, Figure 2 shows a Python 2-based stager that includes encrypted
shellcode to be decrypted at runtime.

Figure 2: AES decrypting stager from Veil 2 in
Python 2

While the code in Figure 2 works in Python 2, it will not work in
Python 3. Specifically, in Python 3, the shellcode no longer needs to
be string escaped into a bytearray after decryption. The output of
Python 3’s decryption is the original clear text data in a bytearray,
which is immediately consumable by the rest of the script. Figure 3
shows the Python 3 version of the same decryption stager.

Figure 3: AES decrypting stager from Veil 3 in
Python 3


Early versions of Veil relied on the Metasploit Framework’s msfvenom
tool to generate shellcode for Veil payloads. After the initial
release of Veil, however, this caused a problem. The output for
msfvenom changed and it completely broke Veil’s ability to process
msfvenom output. After providing a patch to fix the issue, the Veil
team decided that a different solution would be required instead of
relying on a tool outside of our control.

Thus, Veil-Ordnance
was developed and released in 2015. Veil-Ordnance is a tool that
generates shellcode for use in Veil-Evasion stagers. Developing
Veil-Ordnance had two main benefits:

  1. The Veil development team is in control of the output,
    preventing any future compatibility issues with Veil-Evasion.
  2. Shellcode generation is faster with Veil-Ordnance.

Previously, Veil-Evasion and Veil-Ordnance were two separate tools.
With the release of Veil 3.0, that is no longer the case, as shown in
Figure 4.

Figure 4: Ordnance included in Veil 3.0

Veil 3.0 users still have the ability to use msfvenom to generate
their shellcode, but they now also have the option to use
Ordnance. Ordnance will be able to immediately generate shellcode
after users provide the IP and Port that the shellcode should connect
to or listen on. Ordnance supports the most popular payload types:

  1. Reverse TCP
  2. Reverse HTTP
  3. Reverse HTTPS
  4. Reverse TCP DNS
  5. Reverse TCP All Ports
  6. Bind

This gives Veil users multiple options to choose from – they can
stick with msfvenom, or use the new built-in tool, Ordnance.

Additional Languages

While Veil itself is written in Python, the processed payloads and
output files can be in other programming languages. In Veil 3.0, two
additional languages are now supported:

  • AutoIt3
  • Lua

Lua payloads are only supported in a script format that must be
compiled and run using a lua runtime, but Veil 3.0 running on Linux
can compile AutoIt3 scripts into Windows executables. Veil 3.0 also
supports the seven languages previously supported in version 2.0:

  • Python
  • PowerShell
  • C
  • C#
  • Perl
  • Ruby
  • Golang
Environmental Detection

Another new feature in Veil 3.0 is the ability to check information
about the system where the Veil payload is running. This feature is
useful for ensuring that shellcode is only executed on target systems
and during the engagement timeframe. The stager performs these checks
and will only inject and execute the embedded shellcode if the
specified conditions are met. Figure 5 shows the options for this feature.

Figure 5: Environmental detection options

Users can specify one or more of the following checks for Veil stagers:

  • The domain that the victim machine must be joined to.
  • A date that the payload expires on.
  • The hostname of the
    system running the payload.
  • The minimum number of
    processors on the system running the payload.
  • The required
    username running the payload.

If specifying more than one check, all checks must be met; otherwise
the stager will cease execution without executing the shellcode.

This covers the major updates with Veil 3.0’s release. If you have
any questions, or encounter an issue, please visit Veil’s Github
. I hope that Veil can help further your assessments in
the same way that it has helped us.


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