Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183B30D30C580FE2B40C3E5C4E226A71FB1DAA64FEE034642A7F583B98AC9D97DD31655 |
|
CONTENT
ssdeep
|
768:0zHlo2Q0FIXI1fgzXJQIrr9eeLbO6jVMhvVY2udHU0IQ4h4BkoRHtVdFVVlI:EFJQ0FIY1ADpgvsS0G4Dt3DLI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b5b5a47a4a5a4a6a |
|
VISUAL
aHash
|
83a7222e003e3e38 |
|
VISUAL
dHash
|
064e4e5a49545451 |
|
VISUAL
wHash
|
83a7a2aca0bebe38 |
|
VISUAL
colorHash
|
38200030200 |
|
VISUAL
cropResistant
|
064e4e5a49545451 |
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.