Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186A33BB83245B62709B387E730DE2513B378532FD80B4C60B164E99963E9C5AB477BD8 |
|
CONTENT
ssdeep
|
1536:V2SOkIh0d7SDIE1kG+plUuRNka2wblHbJLwLIz9GguGOjjRnY:V2IE1kfrX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f12a5528dd88d7aa |
|
VISUAL
aHash
|
c1c3e7c3c3c3c3fe |
|
VISUAL
dHash
|
978f4c8e8e0e170e |
|
VISUAL
wHash
|
c1c3c3c3c3c3c3e6 |
|
VISUAL
colorHash
|
07001000c00 |
|
VISUAL
cropResistant
|
978f4c8e8e0e170e |
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 56 techniques to evade detection by security scanners and make reverse engineering more difficult.