Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134A38A33411935274437C6D530B55B3BD2A6994FFAE70A010EECD7EA2BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:WILz4NP/y9svbliCd0UfUFtiuCa28y2O9:hmA7s |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361bc1eed28c533 |
|
VISUAL
aHash
|
00002000000004ff |
|
VISUAL
dHash
|
96c8c8c2caecdc88 |
|
VISUAL
wHash
|
0064ec706034ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
8001a0815c588090,9288c8c2cac8cc9c |
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.