Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190932AA03A19F9635AF34397609F1503B228162BA40D4D606321EDED76BCC9B6077FDA |
|
CONTENT
ssdeep
|
1536:Vrv1EVu3CmV43mlXFfbsQmlo2h2wV9LHd8tVPTMn57Bd0uq++iX8z:BXjUMAL98n0d0++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d6af5c221de222d5 |
|
VISUAL
aHash
|
b6ffffff7f657c00 |
|
VISUAL
dHash
|
64644c66f18da9b0 |
|
VISUAL
wHash
|
b2beffff39050000 |
|
VISUAL
colorHash
|
07c00010000 |
|
VISUAL
cropResistant
|
64644c66f18da9b0,696c627433b47f69,b694933c9c849c93,21083032b00c8041,8c9c1e2626275541 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.