Monthly Archives: January 2018

“LEBANON IS BEHIND DATA-STEALING SPYWARE“ – EFF UNCOVERED

A security bug that has infected thousands of smartphones has been uncovered by campaign group the Electronic Frontier Foundation (EFF).

Working with mobile security firm Lookout, researchers discovered that malware in fake messaging designed to look like WhatsApp and Signal had stolen gigabytes of data.

APPLE YAKIRI KUATHIRIWA NA “MELTDOWN” PAMOJA NA “SPECTRE”

Ugunduzi wa mapungufu makubwa mawili yaliyopewa jina la “Meltdown na Spectre” yaliyoathiri Kifaa cha Kopyuta kinachojulikana kwa jina la“Chip”  ambapo athari zake ni kupelekea wizi wa taarifa kwa watumiaji mtandao umeendelea kuchukua sura mpya baada ya kampuni ya Apple kukiri kua bidhaa zake ikiwemo Komputa za Mac, iPhone na iPads kuathiriwa pia.

Hadi wakati huu ma bilioni ya kompyuta, Simu za mkononi “smartphones” na Tabiti “Tablets” zimeathirika na mapungufu haya ambapo kuna hatari ya taarifa za mabilioni ya watu kuweza kuishia mikononi mwa wahalifu mtandao endapo hatua stahiki kutochukuliwa kwa wakati.



Tayari hatua mbali mbali zimeweza kuchukuliwa kuzuia maafa makubwa kujitokeza kutokana na mapungufu yaliyo gunduliwa ikiwa ni pamoja na kusambaza viraka “Patches” ili kuziba mianya ya mapungufu yaliyo gundulika.


Aidha, Elimu ya uelewa imeendelea kutolewa kwa watumiaji wa mwisho (End user) katika mataifa mbali mbali ili kuweza kuchukua hatua za kusahihisha mapungufu hayo katika vifaa vilivyo athiriwa.

Itakumbukwa – Mwaka Jana Kulikua na ugunduzi wa mapungufu yaliyo athiri program za Microsoft na baadae watumiaji wakashindwa kusahihisha mapungufu hayo kama yalivyokua yamesahihishwa na Microsoft, tukio ambalo lilisababisha uhalifu mkubwa wa kimtandao aina ya “WanaCry” ambapo mataifa Zaidi ya miamoja hamsini yaliathiriwa na mabilioni ya fedha kuingia katika mikono ya wahalifu mtandao.

Kwa kuzingatia hilo, wakati huu imeonekana ni muhimu kuziba mianya hii ambayo tayari imegundulika mapema ili kuepusha wizi mkubwa wa taarifa za watu unaoweza kutokea endapo hili halitochukuliwa hatua stahiki.

Makampuni mbali mbali tayari yamechkua hatua za kusambaza viraka matandao “Patches” na kuwataka watumiaji kufanyia kazi hatua hizi zilizo chukuliwa.

Kumekua na malalamishi kwa baadhi ya watumiaji mtandao ambapo wamedai baada ya kutatua mapungufu yaliyogundulika yamepelekea komputa kupunguza uwezo wake wa kufanya kazi – Kampuni ya Apple imewathibitishia watumiaji wake kua tatizo hili halitojitokeza kwemye bidhaa zake.

Mapungufu yaliyo gundulika bado hayajasababisha madhara kwa tumiaji – Ingawa Hofu kubwa ni kwamba wahalifu mtandao wanaweza kutumia mwanya wa mapungufu haya kusababisha madhara makubwa siku za usoni endapo hayata fanyiwa kazi mapema.


Angalizo kuu lililotolewa kwa wanaokimbilia kuziba mwanya huu kuhakiki wanakua makini kwani pamegundulika uwepo wa wahalifu mtandao wanao sambaza viraka mtandao “Patches” ambazo sio sahihi na zina mlengo wa kudhuru watumiaji.

Katika hatua nyingine kampuni ya Apple imesisitiza kua mapungufu yaliyo gundulika hayadhuru saa zake maarufu kama “Apple watch” na pia kueleza kua Hadi sasa Kiraka mtandao “Patches” kwa ajili ya Meltdown pekee ndio kimetolewa na baadae watakapo kua tayari watatoa nyingine kwa ajili ya Spectre.


Makampuni mengine ikiwemo Microsoft tayari yamesha toa viraka mtandao “Patches” ikiwa ni hatua ya kukabiliana na changamoto hii ya kimtandao.

Debugging Complex Malware that Executes Code on the Heap

Introduction

In this blog, I will share a simple debugging tactic for creating “save points” during iterative remote debugging of complex multi-stage samples that execute code in heap memory at non-deterministic addresses. I’ll share two examples: one contrived, and the other a complex, modular malware sample (MD5 hash: 830a09ff05eac9a5f42897ba5176a36a) from a family that we call POISONPLUG. I will focus on IDA Pro and WinDbg, but I’ll explain how to achieve the same effect with other tools as well. With this tactic, you can also hand off program execution between multiple debuggers using the strengths of different tools (e.g. unpacking a binary, dumping memory maps, combatting anti-RE, or normal debugging).

The essence is merely suspending the malware. To set the stage, I must first explain how malware influences our debugging tactics to necessitate this. This explanation will serve as a review of common techniques that make malware debugging easier and culminate in the case study of POISONPLUG. If you’re already a seasoned analyst using IDA Pro to remotely debug malware, and you’re only interested in the bottom line of how to suspend and snapshot live malware, then skip to the Summary section at the end.

VMs and Snapshots as Save Points

To prevent malware from doing damage, most malware reverse engineers debug in an isolated VM. This gives rise to the powerful tactic of capturing VM snapshots throughout the debugging process to be able to return to a “save point” after making a mistake. The analyst is then free to be aggressively experimental about exploring malware behavior. The only consequence of an error is that the analyst must revert the VM and avoid making the same mistake again.

Remote Debugging

Debugging malware on the same system where static analysis artifacts are stored is dangerous; malware (e.g. ransomware) can destroy notes and disassembly databases, or malware anti-RE measures can inflict data loss (e.g. by rebooting). Consequently, it makes sense to use separate systems for debugging versus disassembly and note-taking. Depending on the tools used, this can force the analyst to flip back and forth between viewing disassembler output and the debugger, like a spectator at a tennis match. These transitions are distracting.

Unifying Static and Dynamic Analysis with IDA Pro as a Front-End

Fortunately, IDA Pro (and probably most modern disassemblers) can act as a debugging front-end, superimposing disassembly annotations over live memory and register state in a running program. This lets the analyst see and directly alter disassembly annotations in response to their observations, without switching back and forth.

Malware that Modifies its Memory Map at Runtime

There is one frequent scenario that further shapes the requirements for a dynamic analysis methodology: malware that allocates heap memory, writes code to that memory, and executes that code. Consider Figure 1, which shows a simple program written in C.


Figure 1: Simple shellcode example program

The program allocates memory using malloc, copies six bytes to that location using memcpy, logically inverts each byte, calls the buffer as a function, and finally returns the shellcode’s return value (error checking omitted both for brevity and realism). Figure 2 shows the decoded shellcode in memory.


Figure 2: Simple shellcode function returns 42

Without this code, the disassembly database is missing useful information about the malware’s code, leaving its behavior as a bit of a black box. This simple example demonstrates a common pattern, but its trivial nature isn’t compelling enough to consider this a serious problem. A more realistic example will provide more substantial motivation for the debugging tactic at hand.

Case Study: POISONPLUG

For a realistic example, consider the sample with MD5 hash 830a09ff05eac9a5f42897ba5176a36a (which is available from VirusTotal). This malware creates a thread that decodes and calls shellcode, which unpacks and calls into the entry point of a modified DLL module. The module in turn unpacks six additional modules before finally calling a function within one of those modules. The DllEntryPoint functions of several modules each create several anti-RE threads that attempt to detect common analyst tools and terminate the malware in response. After completely unpacking the malware, tools such as Tyler Dean’s injectfind for flare-dbg or my own flare-qdb (Query-Oriented Debugger) can expose all the read/write/execute (R/W/X) mappings in memory that, in this case, point directly to the malware modules. Figure 3 shows the output from flare-qdb debugging a subset of the malware to this point and dumping its R/W/X allocations.


Figure 3: POISONPLUG R/W/X memory locations after unpacking

Figure 4 shows the unpacked shellcode-based loader from this sample, which is intricate, obfuscated, and time-consuming to annotate.


Figure 4: POISONPLUG’s shellcode-based loader

This shellcode implements several anti-RE features specific to this malware family, and a copy of this is used to unpack seven modules altogether with modified/custom PE-COFF headers. A common response to finding an entire executable file in memory is to dump the file and create its own disassembly database. However, the modules use a list of function pointers stashed in a mapping of the paging file to locate and call into one-another’s function “exports” in spaghetti code fashion to deliberately obfuscate control flow and functional semantics. Figure 5 shows an example, where each lane represents one executable code module, and the boxes inside each lane represent distinct function entry point RVAs within that module.


Figure 5: Partial interaction diagram for retrieving and decoding configuration

The code at offset 0x11f2 in module 0 is simply calling into other modules to eventually arrive at code within its own module (at offset 0x1d42). Dumping to separate disassembly databases creates distractions for the analyst as they must Alt+Tab between entirely different disassembly databases to follow the path of execution.

These types of complex samples create a dual problem for the debugging tactics described so far…

Challenge 1: Syncing Code from the Heap

The first problem is that the code written to memory is generally not readily available in the original disassembly output, and dumping to separate disassembly databases is not always appropriate. It can also be a lot of work to neutralize anti-reversing measures and shepherd a sample to the point where it has unpacked all its encoded modules into heap memory. A debugging mistake can entail a lot of additional work to fix and resume analysis. Live memory is a resource that could hasten reverse engineering if it can be preserved beyond the life of the debug session. Luckily, this first problem of making unpacked modules conveniently available in a single disassembly database can be solved trivially, at least in IDA Pro:

  1. Visit each dynamically allocated code region to change its segment attributes (Alt+S) and mark each as a Loader segment
  2. Pull the dynamically allocated memory into the disassembly database (Debugger > Take memory snapshot > Loader Segments)

If you are following along without having started a debugging session, IDA’s Change segment attributes dialog will omit the Loader segment checkbox. Figure 6 shows this dialog during a debugging session, with the Loader segment checkbox highlighted.


Figure 6: Change segment attributes dialog during debugging session

After pulling in live memory, it is possible to read and annotate unpacked modules and code in heap allocations even after terminating the debugging session, as shown in Figure 7.


Figure 7: Function code from heap saved from a debug memory snapshot

Challenge 2: Non-Deterministic Memory Maps

A second problem arises from samples that execute code in dynamically allocated memory. Recovering from a debugging mistake still requires debugging the program again, but modules frequently occupy varying addresses across different executions. Consequently, the helpful annotations created in IDA Pro at the original addresses are absent from the new code locations. Figure 8 shows an example containing the same code as in Figure 7, but loaded at a different address during a subsequent execution of the program. The analyst must then recognize and/or relabel everything to continue the analysis. This can be scripted, but it is a time-consuming distraction.


Figure 8: Same code at a different address lacks annotations

The reason the code appears at varying addresses across debugging sessions is that Windows’ memory allocation functions such as VirtualAlloc do not always return consistent addresses from one execution of a program to the next. For example, the first time a program runs, it may obtain memory at address 0xe000, the second time at 0x11a000, et cetera. For complex malware with several modules, this presents a problem.

We’d like the memory map to be uniform from one debug session to another so we can continue to build on our existing static analysis annotations, each of which IDA Pro has associated with a single virtual address. Alas, even though VirtualAlloc accepts an optional lpAddress parameter to indicate the starting address of the region to allocate, this is merely a suggestion unless memory was already reserved and uncommitted at that address. Forcing the lpAddress parameter to a desired value rarely (in my experience, never) yields success.

Alternately, it would be nice to go back to using virtual machine snapshots to create “save points” like before. Unfortunately, when debugging remotely over a network, the process of reverting a virtual machine snapshot breaks the TCP connection between the debug server and IDA Pro and prevents the malware from continuing under the control of the debugger.

…Where we Lay our Scene

The stage is now set to introduce the new technique. First, a short recap of how we got here:

  • Need to debug in a VM to avoid damage to the host system
  • Prefer to use IDA Pro as the debugging front-end to unify static and dynamic analysis
  • Need to use remote debugging to avoid damage to static analysis artifacts and documentation
  • Need to debug iteratively across multiple debug sessions
  • Disassembly annotations must align with the memory map in the debug session to be useful

Malware behavior and analyst preferences seem to have painted us into a corner. Running the malware repeatedly results in a non-deterministic memory map that does not align with the annotations in the disassembly database, and using IDA Pro to unify the static view with live remote debugging appears impede the use of VM snapshots to act as save points. What should an analyst do?

Park Your Malware

To capture a VM snapshot that allows us to repeatedly reattach to and resume debugging, we’ll increase the suspend count of all the threads in the program and detach the debugger. The debug server will gracefully close its TCP connection, and the program will stay suspended until we reattach. We then capture a VM snapshot. Finally, we can repeatedly revert the VM, reattach, and resume execution to continue our analysis. This way, you can park your malware once, and then crash it over and over again until you understand its behavior.

As it turns out, IDA Pro’s facility for suspending threads (right-click -> Suspend) doesn’t maintain its effect after detaching the debugger. Instead, we’ll specifically use WinDbg as IDA’s debugger back-end (see the directions at Hex-Rays’ site).

The WinDbg command for viewing thread status is ~ (tilde). The ~ command accepts an optional numeric argument to specify which thread to display (e.g. ~3), or you can specify ~* to display full status for all threads. WinDbg also supports commands ~n and ~m for suspending and resuming threads. These also permit numeric or asterisk arguments, so we can use ~*n to suspend all threads before detaching, and ~*m to resume them upon reattaching. Figure 9 shows IDA/WinDbg output after viewing thread status, suspending all threads, and finally viewing their status once more.


Figure 9: Viewing thread status, suspending, and viewing again

The suspend count increases from 1 to 2 after issuing the ~*n command. Now, when the debugger detaches from the process and decrements the suspend count of all threads (as usual), the artificially elevated suspend count of each thread will remain greater than zero. Consequently, the NT dispatcher will not schedule any threads in the process to run, and the process will continue to exist in a suspended state.

Now, we can capture a VM snapshot that can be repeatedly reverted to resume debugging from where we left off. Figure 10 shows the process attachment dialog in IDA Pro after reverting the VM snapshot and clicking Debugger -> Attach to process…


Figure 10: Attaching to the suspended process

You can create these “save points” at various junctures – as many as you have disk space to store.

The one caveat to this procedure is that it is easy to forget to resume threads between reattaching and attempting to continue debugging. If you forget this step, then the “Please wait…” modal dialog in Figure 11 will appear.


Figure 11: Debugging a suspended process

A reverse engineer might be accustomed to seeing this dialog only after making a mistake and allowing malware to run free, but in this case, the program is not actually executing any instructions. To fix it, simply click the Suspend button in IDA Pro’s “Please wait…” dialog and then resume all threads (WinDbg: ~*m) to decrease their suspend count. Then, execution can continue as normal.

Summary

To suspend a program that you are running within an IDA Pro + WinDbg remote debug session to capture a reusable VM snapshot:

  1. Suspend all threads (WinDbg: ~*n)
  2. Detach from the process (IDA Pro: Debugger -> Detach from process)
  3. Capture your VM snapshot

To resume the suspended program:

  1. Attach to the remote process (IDA Pro: Debugger -> Attach to process…)
  2. Resume all threads (WinDbg: ~*m)
  3. Resume debugging as normal

If you aren’t interested in using WinDbg commands, you can instead use SysInternals’ Process Explorer to suspend the process in your debugging VM and simply detach using IDA Pro. You could also write a Python ctypes script or native program to directly use the relevant Windows APIs if you prefer (specifically via CreateToolhelp32Snapshot with the TH32_SNAPTHREAD flag, OpenThread, SuspendThread, and ResumeThread).

This tactic allows us to cope with complex multi-stage shellcode or modular malware that has several (sometimes cascading) unpacked code regions. It lets us create save points in our debug session while maintaining the same memory map so our disassembly annotations always remain aligned with the memory map in the debug session. It also allows us to suspend malware execution in one debugger and pick it up in another, provided each debugger allows thread suspend count to remain at a non-zero value before detaching.

Before closing, I’d like to give credit to Tarik Soulami for his explanation of WinDbg thread management in his book, “Inside Windows Debugging” (Microsoft Press, 2012). If you’re starting to confront more difficult debugging scenarios in your journey as a reverse engineer, I strongly encourage you to pick up “Inside Windows Debugging” to augment your repertoire and further understand the powerful debugging capabilities of WinDbg and Windows itself.

2017 – The Year The World Realized the Value of Active Directory Security

Folks,

As we get ready to bid farewell to 2017, it may be fitting to recap notable happenings in Active Directory Security this year.

This appears to have been the year in which the mainstream Cyber Security community finally seems to have realized just how important and in fact paramount Active Directory Security is to cyber security worldwide, in that it appears that they may have finally realized that Active Directory is the very heart and foundation of privileged access at 85% of organizations worldwide!


I say so only because it appears to have been in this year that the following terms seem to have become mainstream cyber security buzzwords worldwide - Privileged User, Privileged Access, Domain Admins, Enterprise Admins, Mimikatz DCSync, AdminSDHolder, Active Directory ACLs, Active Directory Privilege Escalation, Sneaky Persistence in Active Directory, Stealthy Admins in Active Directory, Shadow Admins in Active Directory, Domain Controllers, Active Directory Botnets, etc. etc.



Active Directory Security Goes Mainstream Cyber Security

Here are the 10 notable events in Active Directory Security that helped it get mainstream cyber security attention this year -


  1. Since the beginning on the year, i.e. January 01, 2017, Mimikatz DCSync, an incredibly and dangerously powerful tool built by Benjamin Delpy, that can be used to instantly compromise the credentials of all Active Directory domain user accounts in an organization, including those of all privileged user accounts, has been gaining immense popularity, and appears to have become a must-have tool in every hacker, perpetrator and cyber security penetration-tester's arsenal.

  2. On May 15, 2017, the developers of BloodHound introduced version 1.3, with the objective of enhancing its ability to find privilege escalation paths in Active Directory that could help find out "Who can become Domain Admin?"  From that point on, Bloodhound, which is massively inaccurate, seems to have started becoming very popular in the hacking community.

  3. On June 08, 2017, CyberArk a Billion+ $ cyber-security company, and the self-proclaimed leader in Privileged Account Security, introduced the concept of Shadow Admins in Active Directory, as well as released a (massively inaccurate) tool called ACLight to help organizations identify all such Shadow Admins in Active Directory deployments worldwide.

  4. On June 14, 2017, Sean Metcalf, an Active Directory security enthusiast penned an entry-level post "Scanning for Active Directory Privileges and Privileged Accounts" citing that Active Directory Recon is the new hotness since attackers, Red Teamers and penetration testers have realized that control of Active Directory provides power over the organization!

  5. On July 11, 2017, Preempt, a Cyber Security announced that they had found a vulnerability in Microsoft's implementation of LDAP-S that permits the enactment of an NTLM relay attack, and in effect could allow an individual to effectively impersonate a(n already) privileged user and enact certain LDAP operations to gain privileged access. 

  6. On July 26, 2017, the developers of (massively inaccurate) BloodHound gave a presentation titled An ACE Up the Sleeve - Designing Active Directory DACL Backdoors at the famed Black Hat Conference USA 2017. This presentation at Black Hat likely played a big role in bringing Active Directory Security to the forefront of mainstream Cyber Security.

  7. Also on July 26, 2017, a second presentation on Active Directory Security at the Black Hat Conference titled The Active Directory Botnet introduced the world to a new attack technique that exploits the default access granted to all Active Directory users, to setup command and control servers within organizations worldwide. This too made waves.

  8. On September 18, 2017, Microsoft's Advanced Threat Analytics (ATA) Team penned a detailed and insightful blog post titled Active Directory Access Control List - Attacks and Defense, citing that recently there has been a lot of attention regarding the use of Active Directory ACLs for privilege escalation in Active Directory environments. Unfortunately, in doing so Microsoft inadvertently ended up revealing just how little its ATA team seems to know about the subject.

  9. On December 12, 2017, Preempt, a Cyber Security announced that they had found a flaw in Microsoft's Azure Active Directory Connect software that could allow Stealthy Admins to gain full domain control. They also suggested that organizations worldwide use their (massively inaccurate) tooling to find these Stealthy Admins in Active Directory.

  10. From January 26, 2017 through December 27, 2017, Paramount Defenses' CEO conducted Active Directory Security School for Microsoft, so that in turn Microsoft could help not just every entity mentioned in points 1- 9 above, but the whole world realize that in fact the key and the only correct way to mitigate each one of the security risks and challenges identified in points 1 - 9  above, lies in Active Directory Effective Permissions and Active Directory Effective Access.





Helping Defend Microsoft's Global Customer Base
( i.e. 85% of  Organizations Worldwide )

Folks, since January 01, 2017, both, as former Microsoft Program Manager for Active Directory Security and as the CEO of Paramount Defenses, I've penned 50+ insightful blog posts to help educate thousands of organizations worldwide about...


...not just the paramount importance of Active Directory Security to their foundational security, but also about how to correctly secure and defend their foundational Active Directory from every cyber security risk/challenge covered in points 1- 9 above.

This year, I ( / we) ...

  1. conducted 30-days of advanced Active Directory Security School for the $ 650+ Billion Microsoft Corporation

  2. showed thousands of organizations worldwide How to Render Mimikatz DCSync Useless in their Active Directory

  3. helped millions of pros (like Mr. Metcalf) worldwide learn How to Correctly Identify Privileged Users in Active Directory

  4. helped the developers of BloodHound understand How to Easily Identify Sneaky Persistence in Active Directory

  5. helped Microsoft's ATA Team learn advanced stuff About Active Directory ACLs - Actual Attack and Defense

  6. showed CyberArk, trusted by 50% of Fortune 100 CISOs, How to Correctly Identify Shadow Admins in Active Directory

  7. helped cyber security startup Preempt's experts learn How to Correctly Identify Stealthy Admins in Active Directory

  8. helped the presenters of The Active Directory Botnet learn How to Easily Solve the Problem of Active Directory Botnets

  9. helped millions of cyber security folks worldwide understand and illustrate Active Directory Privilege Escalation

  10. Most importantly, I helped thousands of organizations worldwide, including Microsoft, understand the paramount importance of Active Directory Effective Permissions and Active Directory Effective Access to Active Directory Security


In fact, we're not just providing guidance, we're uniquely empowering organizations worldwide to easily solve these challenges.





Summary

All in all, its been quite an eventful year for Active Directory Security (, and one that I saw coming over ten years ago.)

In 2017, the mainstream cyber security community finally seem to have realized the importance of Active Directory Security.


Perhaps, in 2018, they'll realize that the key to Active Directory Security lies in being able to accurately determine this.

Best wishes,
Sanjay.

PS: Why I do, What I Do.