Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132326233A600CD2A4DAB65CCF2C09688515EC345FB3148CA62B481FF7BC5CF069A57AD |
|
CONTENT
ssdeep
|
192:wX6YsYczcUcXLcdtylOClupxQNLwFGcMcnthWeNWbBaNfMmUU8VCoh:uczcUcXLcdQFZV2GtaNfMmUFCoh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd4db6b24b48b2b2 |
|
VISUAL
aHash
|
f8f8f8f0f8ffffff |
|
VISUAL
dHash
|
d2d2929293080200 |
|
VISUAL
wHash
|
7030703070f0fffe |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
d2d2929293080200,dcf033fc707bfc7d |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.