Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119F2C43CD246683F05A7B2D1AA64B36962918ECEE943133542BDC31C5FDADD8FD025B4 |
|
CONTENT
ssdeep
|
384:HtctmRIIQtycIIIII9xlB+L4L8ABuJFH+JTRMp2pW/6vkReejzxtIaRpW:vIIQtbIIIIIj8DJFETRkAW/6vkReEtDe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87e3713c94193973 |
|
VISUAL
aHash
|
00e3ffff3f181838 |
|
VISUAL
dHash
|
97cfcbf5ed73f0e0 |
|
VISUAL
wHash
|
00e1efff3f181838 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3c2cd988c8c,000030323a380400,97cfcbf5ed73f0e0 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.