Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198435B73672178BD82DB41EDFB382E45B6C5949DE8860440F2D8A6ED23C7C917287B74 |
|
CONTENT
ssdeep
|
1536:aih/4+EsZ/83eEFDT1eJRvMjBJRhMjBarpRXPZlQaQD9OehM+BrUgq4FJ:aih/RpR2RlrpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aad5d4d4f4d0d4c4 |
|
VISUAL
aHash
|
ff01010101010101 |
|
VISUAL
dHash
|
4b43435b43434b4b |
|
VISUAL
wHash
|
ffb9b981b1a181a1 |
|
VISUAL
colorHash
|
31000000618 |
|
VISUAL
cropResistant
|
4b43435b43434b4b,6961414945414145 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.