Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D5185715150441D7635C5B6EC5372CCD0E9D607C6139DA9EB6812F779E38E2C43226E |
|
CONTENT
ssdeep
|
48:TGiNRSq+Amd9XcXjglkANQnflkANQnblbrbRurBshdjp5p3YakndGUQFfhrQfFSL:TG+MFcFfrBcdfp3gGXnLsCYk/L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8506873723df5ac |
|
VISUAL
aHash
|
0000ffffffff83ff |
|
VISUAL
dHash
|
82a2961ae8475725 |
|
VISUAL
wHash
|
0000dbffffff0101 |
|
VISUAL
colorHash
|
0e180000000 |
|
VISUAL
cropResistant
|
a69619c580577725,008292929a00b2b2,773733333735354c,6565660a2a6a6746,aaaacec9a9293517,9a1951424a425654,e9695494b4d6ce4c,e2e2ea4a5a4a18b4,a54544697414868b |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 14 techniques to evade detection by security scanners and make reverse engineering more difficult.