Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE417669101427B712478A9085A1DE8BF2D1E758C36FAE4092ED916A27EED50CE041A4 |
|
CONTENT
ssdeep
|
48:T0mdsBGySo5XX6As6BA0W6CIbi7LN/tHk:TVdswoI6BAZ6CIbOL/E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecaa949a564a4b57 |
|
VISUAL
aHash
|
fcf7f1f0f0f0f0f2 |
|
VISUAL
dHash
|
0507632723230624 |
|
VISUAL
wHash
|
fcf1b0d0b0f0f0f0 |
|
VISUAL
colorHash
|
06402000040 |
|
VISUAL
cropResistant
|
0507632723230624,41113232255b3f7c,9b090dc9dd64487e,0b6363531527a1bd,715171c103cbecec,033d274e4d0f074f,000fc91060691919 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|