Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19492E93340C8DB7725A253E5A720B61DF78E6596C82E2E14C6E5C28F47D1FB0CCBA265 |
|
CONTENT
ssdeep
|
384:lETpPtRYm+TatAOB6/wMiN1QtMzOqZFV92ZlEeLzLyX0N0z1B3o:a56YItMX92ZlRLzLyXJ3o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c66ed13963cc6b90 |
|
VISUAL
aHash
|
402c3c3424007e7e |
|
VISUAL
dHash
|
c45965654d71f4d8 |
|
VISUAL
wHash
|
763c3c3c26007e7e |
|
VISUAL
colorHash
|
080000001c0 |
|
VISUAL
cropResistant
|
c45965654d71f4d8 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.