Systems and methods for tracking and identifying phishing website authors

1. A computer-implemented method of tracking phishing activity targeting a webpage that is part of a website which is hosted on at least one server, wherein the at least one server is in data communication with at least one user computing device over a network and wherein the at least one user computing device is configured to initiate a request to the at least one server to download the webpage, the method comprising:

receiving, at the at least one server, the request to download the webpage, wherein the request includes identification data pertaining to the at least one user computing device;

extracting, at the at least one server, one or more of the identification data from the request;

generating, at the at least one server, a unique identifier corresponding to the one or more of the identification data;

using, at the at least one server, at least a subset of the one or more of the identification data to generate fingerprint data wherein a size of the fingerprint data ranges from 64 bits to 256 bits;

storing, at the at least one server, the unique identifier, the one or more of the identification data, and the fingerprint data, wherein the unique identifier is stored in association with the one or more of the identification data and the fingerprint data;

encoding, at the at least one server, the fingerprint data into a program code and/or data associated with the webpage to generate a modified webpage, wherein the encoding comprises at least one of adding the fingerprint data to the program code and/or data or replacing a portion of the program code and/or data with the fingerprint data and wherein, after the encoding, the fingerprint data within the program code and/or data is visually undetectable by humans; and

transmitting the modified webpage with the fingerprint data from the at least one server to the user computing device in response to the request.

2. The computer-implemented method of claim 1 , wherein the one or more of the identification data comprises at least one of an IP address of the user computing device, an IP-based geo-location of the user computing device, TCP/IP fingerprint parameters, HTTP header fields or IP Address Whois data.

3. The computer-implemented method of claim 1 , further comprising:

downloading, at the at least one server, the modified webpage from a potentially phishing website;

decoding, at the at least one server, the modified webpage to retrieve the fingerprint data;

accessing, at the at least one server, the unique identifier associated with the retrieved fingerprint data;

accessing, at the at least one server, the one or more of the identification data using the accessed unique identifier; and

identifying the user computing device based on the accessed one or more of the identification data.

4. A computing system configured to track phishing activity targeting a webpage that is part of a website comprising:

at least one server, wherein the at least one server is in data communication with at least one remotely located user computing device over a network, wherein the at least one server is configured to receive a request from the at least one remotely located user computing device to acquire data indicative of the webpage, and wherein the at least one server comprises at least one hardware processor and programmatic instructions that, when executed by the at least one hardware processor:

receives the request to download the webpage, wherein the request includes identification data pertaining to the at least one user computing device;

extracts at least a portion of the identification data from the request;

generates a unique identifier corresponding to the portion of the identification data;

stores the unique identifier and the portion of the identification data, wherein the unique identifier bears an association with said one or more of the plurality of identification data and wherein a size of the unique identifier ranges from 64 bits to 256 bits;

encodes the unique identifier into a program code and/or data associated with the webpage by adding the unique identifier to the program code and/or data or replacing a portion of the program code and/or data with the unique identifier such that the unique identifier is visually undetectable by a human in the program code of the webpage or in the rendered version of webpage, thereby generating a modified webpage; and

transmits the modified webpage from the at least one server to the user computing device in response to the request.

5. The computing system of claim 4 , wherein the identification data comprises at least one of an IP address of the at least one user computing device, an IP-based geo-location of the at least one user computing device, TCP/IP fingerprint parameters indicative of the at least one user computing device, HTTP header fields indicative of the at least one user computing device and IP Address Whois data indicative of the at least one user computing device.

6. The computing system of claim 4 , wherein the programmatic instructions, when executed by the at least one hardware processor:

downloads the modified webpage from a potentially phishing website;

decodes the modified webpage to retrieve the fingerprint data;

accesses the unique identifier associated with the retrieved fingerprint data;

accesses the one or more of the identification data using the accessed unique identifier; and

identifies the user computing device based on the accessed one or more of the identification data.