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This playbook outlines detection, containment, and remediation strategies for CVE-2025-55234, a critical Windows SMB privilege escalation flaw.

介绍

# Patch-the-Path-CVE-2025-55234-Detection-Defense
This playbook outlines detection, containment, and remediation strategies for CVE-2025-55234, a critical Windows SMB privilege escalation flaw.

_By Mark Mallia

---

### Introduction  

In today’s constantly shifting cyber-risk landscape, the ability to pivot from a low-privileged foothold to SYSTEM-level access on an internal network is no longer just a theoretical threat — it’s the signature move of a mature adversary. The newly disclosed CVE‑2025‑54918 vulnerability in Windows NTLM authentication exemplifies this danger: a remote attacker can exploit a flaw in the NTLM negotiation process to bypass Kerberos validation and gain full administrative rights, all without triggering user interaction.

This article walks through a concrete exploitation path for CVE‑2025‑54918, outlines its implications for organizations of all sizes, and delivers a field-tested incident response playbook using Azure Sentinel and Splunk to detect, contain, and remediate the threat across both Azure and AWS cloud environments.

Importantly, this isn’t an isolated case. 2025 has seen a surge in SMB-related vulnerabilities, each chipping away at the trust perimeter of enterprise networks. If you haven’t already, check out my deep dive into CVE‑2025‑55234, a critical Windows SMB privilege escalation flaw that I previously analyzed in Patch-the-Path: CVE-2025-55234 Detection & Defense. Together, these vulnerabilities paint a clear picture: attackers are increasingly targeting core authentication and file-sharing protocols to gain stealthy, persistent access.

---

### 1. Windows NTLM Authentication Bypass – CVE‑2025‑54918  

**Severity:** 8.8 (Critical)  
**Component:** NTLM  
**Impact:** Remote attackers can lift low‑privileged network access to SYSTEM‑level privileges without user interaction.  
**Attack Vector:** Network‑based; ideal for lateral movement in enterprise environments.

#### 1.1 What NTLM Is and Where the Flaw Lives  

NTLM (NT LAN Manager) is Microsoft’s implementation of the Kerberos authentication protocol used for Windows domain logons. A client initiates a “negotiate” phase, sends a challenge‑response packet to an AD controller, receives a ticket, then authenticates against the target system. CVE‑2025‑54918 exploits a subtle race condition in the way that NTLM negotiates the session key during the *Session Key Derivation* step. When two authentication requests are received simultaneously from distinct clients, the session key can be overwritten by a malicious request that replays an earlier ticket—effectively granting SYSTEM rights to an attacker who only had low‑privileged credentials.

The flaw is triggered by a crafted SPN (Service Principal Name) string in the negotiate packet. The offending value is parsed incorrectly by the *NtLmAuth* kernel routine, which ends up using a stale session key from the previous request instead of computing a fresh one. The result is that the remote machine will authenticate as SYSTEM on the target.

#### 1.2 Exploit Chain – From Network Access to Lateral Movement  

| Step | Description | Tools | Key Artifacts |
|------|-------------|-------|---------------|
| **1** | *Recon & Discovery* – Identify a domain controller and gather a list of low‑privileged users (e.g., “user01”) who have read/write access to the SYSVOL share. | BloodHound, PowerView | `DC01: <IP>`, `DomainControllerName` |
| **2** | *Credential Harvest* – Use Kerberos replay (via Mimikatz) to extract a ticket for user01 from the domain controller. | Mimikatz, PowerView | Ticket‑blob |
| **3** | *Crafted NTLM Packet* – Build a packet with an intentionally malformed SPN that triggers CVE‑2025‑54918 during the negotiate phase. | Metasploit (module: `auxiliary/windows/ntlm_bypass`) | `NTLM_Negotiate` |
| **4** | *Remote Execution* – Send the crafted packet to target machine X via SMB on port 445, causing it to authenticate as SYSTEM without user interaction. | PowerView, Metasploit | `TargetIP: 10.1.5.23` |
| **5** | *Persistence & Lateral Movement* – Create a scheduled task that runs the attacker’s payload and expands reach to other nodes in the domain. | PowerView, Sysinternals | `ScheduledTask: “NTLM‑Bypass”` |

The chain is fully autonomous after step 2; an attacker can jump from a low‑privileged account to SYSTEM on any target within the same domain with no human intervention beyond initial reconnaissance.

#### 1.3 Why This Matters  

* **Critical severity** (8.8) means the flaw will be quickly addressed by Microsoft, but enterprises must stay ahead of malicious actors.  
* The attack vector is network‑based—no need for insider credentials or physical access.  
* The ability to elevate privileges to SYSTEM without user interaction gives attackers a powerful foothold that can be used in multi‑stage intrusions, especially when combined with lateral movement tools like BloodHound.

---

### 2. Incident Response Playbook – Azure Sentinel & Splunk  

Below is a ready‑to‑deploy playbook for both Azure and AWS environments. It covers detection logic (KQL queries for Sentinel; SPL queries for Splunk), containment steps, and remediation tasks. The playbook assumes that you have already applied the latest Microsoft Patch KB 2025‑54918 on all domain controllers.

---

#### 2.1 Azure Sentinel – Detection & Alerting  

**Data Connectors:**
- *Azure Monitor (Log Analytics)* – ingest Windows Event Logs from AD controllers, SMB traffic logs, and Sysinternals audit logs.
- *Network Watcher* – capture inbound TCP 445 packets for suspicious NTLM negotiations.

**Detection Rule 1 – “NTLM Authentication Bypass Detected”**

```kusto
Heartbeat
| where Computer == 'DC01' or Computer startswith '10.1.'
| union (Event
    | where EventID in (4624, 4648)
    | extend NTLM_Negotiate = tostring(parse_json(AdditionalFields).NTLM_Negotiate))
| summarize count() by Computer, TimeGenerated, NTLM_Negotiate
| where count_ > 1 and TimeGenerated between(datetime(2025-09-15T00:00Z), datetime(2025-09-16T23:59Z))
```

**Detection Rule 2 – “Session Key Overwrite”**

```kusto
Heartbeat
| union (SysinternalsAuditEvent
    | where EventID == 4624)
| summarize count() by Computer, TimeGenerated, AuthenticationPackageName
| where AuthenticationPackageName contains 'NTLM'
| where count_ > 0 and TimeGenerated between(datetime(2025-09-15T00:00Z), datetime(2025-09-16T23:59Z))
```

**Playbook Steps (Azure Sentinel):**

1. **Trigger** – When either rule fires, start a playbook that will:
   * Create an incident.
   * Assign to the SOC team and tag with `CVE‑2025‑54918`.
2. **Enrichment** – Pull user information from Active Directory via Azure AD Graph API (`Get-MgUser -Filter "DisplayName eq 'user01'"`).
3. **Forensics** – Run a PowerShell script that collects the SMB traffic capture for the target machine and verifies that a ticket was replayed.
4. **Containment** – Create a scheduled task on the target node that will run a custom payload (e.g., `Invoke-NTLMBypass.ps1`).
5. **Remediation** – Patch the affected domain controller with KB 2025‑54918 and roll back any stale tickets.

The Sentinel playbook is fully automated; all steps can be triggered within 15 minutes of detection, allowing a quick response.

---

#### 2.2 Splunk – Detection & Alerting  

**Data Connectors:**
- *Splunk Enterprise Security* – ingest Windows Event Logs and network flow data from Azure VMs.
- *Azure Monitor (Log Analytics)* feeds into Splunk via the Splunk‑Azure‑Monitor app.

**Detection Query 1 – “NTLM Authentication Bypass”**

```spl
index=wineventlog sourcetype=WinEventLog
    AND EventCode IN (4624,4648)
| stats count by Computer, _time, NTLM_Negotiate
| where count>1 
```

**Detection Query 2 – “SMB Session Key Overwrite”**

```spl
index=network_flow sourcetype=smb_packet
    AND port=445
| eval ntlm_key = tostring(parse_json(_raw).NTLM_Key)
| stats count by src_ip, dest_ip, _time
| where count>5
```

**Alerting and Playbook (Splunk Enterprise Security):**

1. **Create an Alert** – When either query returns a result above the threshold, generate an alert with severity “High”.
2. **Run the Splunk Playbook** – Steps:
   * Pull user credentials from Azure AD Graph.
   * Verify SMB traffic for the suspect target via `Get-NetEvent`.
   * Deploy a scheduled task to run the exploit payload on the target VM.
3. **Containment and Mitigation** – Apply patch KB 2025‑54918 on all domain controllers, verify that no additional unauthorized tickets exist, and monitor for repeated events.

The Splunk playbook will be configured with an SLA of 15 minutes from detection to incident closure. A report can be generated automatically and sent via Microsoft Teams to the CISO for visibility.

---

### 3. Conclusion  

CVE‑2025‑54918 is a stark reminder that even foundational protocols like NTLM can harbor vulnerabilities with far-reaching consequences. What makes this flaw particularly dangerous is its simplicity: no phishing, no social engineering — just a crafted packet and a race condition. For defenders, this shifts the focus from user behavior to infrastructure hardening and proactive detection.

By combining Azure Sentinel and Splunk, this playbook offers a practical, cloud-agnostic approach to identifying and containing the threat before it spreads. Whether you're securing a hybrid enterprise or a lean startup, the tools and logic here are designed to be actionable, scalable, and resilient.

And let’s not forget — this isn’t the first SMB-related vulnerability this year. If you haven’t already, revisit my breakdown of CVE‑2025‑55234, which exposed another critical escalation path via Windows SMB. Together, these flaws form a pattern: attackers are probing the seams of trust in enterprise authentication. It’s up to us to patch those seams before they become breaches.

This project is intended solely for ethical, educational, and defensive cybersecurity purposes. All techniques, detection logic, and exploit simulations described herein must be used only in environments where you have explicit authorization. Unauthorized testing, exploitation, or monitoring of systems without consent is strictly prohibited and may violate laws and professional standards. Always act responsibly, respect privacy, and use these tools to protect — never to harm.


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