Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182C2A731B100267B02D792DDB362E31E92E38389E746082692F993AD5BD7D54DE33626 |
|
CONTENT
ssdeep
|
768:CScy5NaK6U4pZvOCBSh07sOy2+y9BH4crIe:tgSh07sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc3ad569c1c8 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9c8cc2c2c8c9d300 |
|
VISUAL
wHash
|
00e7f0702024ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
208080024c888000,940cc6cac0ccc9d3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.