Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5A3AC23415979274437C2C130795F3BE1A69A9FFAE70A014EECCBF76AF9CA0705A119 |
|
CONTENT
ssdeep
|
1536:OpR4nXBKpSpFl26v5fAyXio72IbzRSRwi+HDH4:qUMbqio7Hz8Rwi+HDH4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c7c638389939ce |
|
VISUAL
aHash
|
fff7cf8f8f83dfdf |
|
VISUAL
dHash
|
378e1a1a181b3e36 |
|
VISUAL
wHash
|
9bc3c38f8f818783 |
|
VISUAL
colorHash
|
07006000008 |
|
VISUAL
cropResistant
|
378e1a1a181b3e36,4d4d4d4d4d4d4d4d |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.