Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161A37833411975274437C6D530A55B3BE2E68E4FFAA70A010EECD7EA1BFAC60B45B11A |
|
CONTENT
ssdeep
|
1536:HkLz4NP/y9svbliCddZkG5V7btVFtiuCa28y2O9:qmAiZky7bt2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d647b438bd34c546 |
|
VISUAL
aHash
|
02242000000004ff |
|
VISUAL
dHash
|
94ccccc0c88c8cb2 |
|
VISUAL
wHash
|
467c7e3060640eff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0080812030008080,d4ccccc8c8c88c8c |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.