Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F32C7D3E14454061B09CA405A95FFC8913ACA47CB6C78BFB6A0289B6DED9F0D2737E1 |
|
CONTENT
ssdeep
|
192:8t6tYXtRz5LSiS+tft7z5ttRz5LSiSphFIc4Vyn6n6iQDueRUjenUkeEJedPVIn:8t6tYXtR1LSiS+tft71ttR1LSiSpgdyZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b74d60631f32da13 |
|
VISUAL
aHash
|
0002ff9f3fe7e7ff |
|
VISUAL
dHash
|
028666706c4ecece |
|
VISUAL
wHash
|
0000c71f1fe767e7 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
868668706ccecece,4049c2128206a6a6,040993d8d8e4c303,2a82d453383cfcdd,c784b3f0badadad8 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.