Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178D29771B0505A3B42E782C8B7727F2E62E78289D649085586FD83BD4F93E08ED33755 |
|
CONTENT
ssdeep
|
768:4ercET9VukcSXmrHOTwTuH7sOy2+y9BH4crIe:8ET9ASQ9TuH7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c30bb53af02cbc8e |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
48c8c0c8c8cce100 |
|
VISUAL
wHash
|
002c70f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
028080004c888000,4cc8c0c0c8c89ce4 |
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.