Qintel QSentry

This Integration is part of the Qintel Pack.#

Supported versions

Supported Cortex XSOAR versions: 6.0.0 and later.

QSentry queries help measure the likelihood that a user is masking their identity using publicly or privately available proxy or VPN services. The returns also flag any known fraud associations. QSentry aggregates data from Qintel’s proprietary Deep and DarkWeb research, as well as from commercially available anonymization services. This integration was integrated and tested with version 4.0 of Qintel QSentry

Configure QintelQSentry on Cortex XSOAR#

Navigate to Settings > Integrations > Servers & Services.
Search for QintelQSentry.
Click Add instance to create and configure a new integration instance.
Parameter Required
QSentry API URL (optional) False
Qintel Token True
Trust any certificate (not secure) False
Use system proxy settings False
Click Test to validate the URLs, token, and connection.

Parameter	Required
QSentry API URL (optional)	False
Qintel Token	True
Trust any certificate (not secure)	False
Use system proxy settings	False

Commands#

You can execute these commands from the Cortex XSOAR CLI, as part of an automation, or in a playbook. After you successfully execute a command, a DBot message appears in the War Room with the command details.

ip#

Queries Qintel for IP reputation data

Base Command#

ip

Input#

Argument Name	Description	Required
ip	List of IPs.	Required

Context Output#

Path	Type	Description
DBotScore.Indicator	String	The indicator that was tested
DBotScore.Type	String	The indicator type
DBotScore.Vendor	String	The vendor used to calculate the score
DBotScore.Score	Number	The actual score
IP.Address	string	IP address
IP.ASN	string	The autonomous system name for the IP address
IP.ASOwner	string	The autonomous system name for the IP address
IP.Malicious.Vendor	string	The vendor reporting the IP address as malicious
IP.Malicious.Description	string	A description explaining why the IP address was reported as malicious
Qintel.IP.Address	boolean	IP address
Qintel.IP.Tags	string	Proxy tags
Qintel.IP.Description	string	IP description
Qintel.IP.LastObserved	string	Last observed time

Command Example#

!ip ip=192.168.35.100

Context Example#

{
    "DBotScore": {
        "Indicator": "192.168.35.100",
        "Score": 2,
        "Type": "ip",
        "Vendor": "Qintel"
    },
    "IP": {
        "ASN": 65000,
        "ASOwner": "Some Service Provider",
        "Address": "192.168.35.100",
        "Malicious": {
            "Description": "Indicator is associated with a criminal proxy/vpn",
            "Vendor": "Qintel"
        },
        "Tags": [
            "Proxy",
            "Vpn"
        ]
    },
    "Qintel": {
        "IP": {
            "Address": "192.168.35.100",
            "Description": [
                "this ip address has been associated with a vpn network that offers paid access to users. it is advertised in online underground spaces.",
                "This ip address has been associated with a proxy network that offers paid access to users and is advertised within the online underground. it is commonly utilized by criminal actors to conduct compromised credential checking and the proxy network is hosted on a botnet infrastructure. ip address is likely an infected machine."
            ],
            "LastObserved": "2021-08-31 11:00:00",
            "Tags": [
                "Proxy",
                "Vpn"
            ]
        }
    }
}

Human Readable Output#

Qintel results for IP: 192.168.35.100#
ASN AS Owner Tags Description Last Observed
65000 Some Service Provider
Proxy,
Vpn This ip address has been associated with a vpn network that offers paid access to users. it is advertised in online underground spaces.,
This ip address has been associated with a proxy network that offers paid access to users and is advertised within the online underground. it is commonly utilized by criminal actors to conduct compromised credential checking and the proxy network is hosted on a botnet infrastructure. ip address is likely an infected machine. 2021-08-31 11:00:00