Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D142433190D5AE371293A6F1EBF61B1EB2918A42C92B1B4697F4C3C84F85F1DCE23446 |
|
CONTENT
ssdeep
|
192:hGUGpORvh2kgLofG0WRjf9Uyo/tRzo49ptxec:hWpO5tutRjf9UyovzHBwc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ece94343921a6be3 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
291212363772d0d4 |
|
VISUAL
wHash
|
fdfbc3dbff000000 |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
232c12121d373643,0c32b23229b69609,9228929696968292,143032c4d4d4d4c0 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)