> For the complete documentation index, see [llms.txt](https://omar-4.gitbook.io/omar-khalid/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://omar-4.gitbook.io/omar-khalid/pages/projects/reveal-lab-incident-response-scenario.md).
# Reveal Lab Incident Response Scenario
Incident Response Scenario:
You're a digital forensic analyst working for a top-tier financial institution. Your organization's SIEM system has alerted you to suspicious behavior originating from an internal workstation that has privileged access to confidential financial information. This activity could signal a potential cyber intrusion.
A **memory dump** from the affected machine has been secured for analysis. Your mission is to investigate this dump for **indicators of compromise (IoCs)**, determine how the anomaly started, contain the threat, and evaluate the extent of the incident.
> 💡 **Tip:** Don’t forget to use hints when stuck—they can guide your investigation!
***
#### đź› Tools Required:
* **Volatility3**
**đź“Ą Installing Volatility3:**
```bash
git clone https://github.com/volatilityfoundation/volatility3.git
cd volatility3
pip3 install -r requirements.txt
```
***
### 🔍 Forensic Analysis Tasks
***
#### **Q1) Identify the malicious process**
**Question:** Spotting the rogue process is the first step in understanding the attack. What is the name of the suspicious process?
**Solution:**\
Use the `windows.pslist` plugin to get an overview of running processes:
```bash
python3 vol.py -f /home/kali/Downloads/192-Reveal.dmp windows.pslist
```
Among the entries, you might notice an unusual instance of **`powershell.exe`**, which is out of place in this context. That’s your malicious process.
**Answer:**\
`powershell.exe`
***
#### **Q2) Find the parent PID**
**Question:** Discovering the PPID (Parent Process ID) helps map out the process hierarchy and understand how the threat initiated.
**Answer:**\
`4120`
***
#### **Q3) Identify the second-stage payload filename**
**Question:** Knowing what executable was used to deploy the second payload helps pinpoint the next phase of the attack.
> 🔎 Hint: Try using the `windows.cmdline` plugin.
```bash
python3 vol.py -f /home/kali/Downloads/192-Reveal.dmp windows.cmdline
```
Look for the command line arguments tied to `powershell.exe`. You’ll likely spot a DLL being loaded:
**Answer:**\
`3435.dll`
***
#### **Q4) What is the remote shared directory accessed?**
**Question:** Tracing which shared resource the attacker accessed remotely can reveal exfiltration points or staging areas.
**Answer:**\
`davwwwroot`
***
#### **Q5) What MITRE technique was used?**
**Question:** Based on the process command line (hint: includes `rundll32`), what technique ID does this correspond to in the MITRE ATT\&CK framework?
> `rundll32` is commonly abused to bypass security mechanisms.
**Answer:**\
`T1218.011`
***
#### **Q6) What is the compromised user account?**
**Question:** Determining which user account executed the malicious process helps assess which credentials and permissions were abused.
> Use: `windows.session` plugin
```bash
python3 vol.py -f /home/kali/Downloads/192-Reveal.dmp windows.session
```
**Answer:**\
`Elon`
***
#### **Q7) Identify the malware family**
**Question:** Based on the suspicious IP address or artifacts found, you investigate on VirusTotal. What is the known malware family name associated?
Head to the **Graph Summary** in VirusTotal and expand related nodes.
**Answer:**\
`StrelaStealer`
***
#### đź”— Lab Source:
[**CyberDefenders – Reveal**](https://cyberdefenders.org/blueteam-ctf-challenges/reveal/)
---
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