Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9A365F1D7C0AC9301674CA7B41FD39D90410E1AFB86D79A3B9C99CA07CB863C3256A9 |
|
CONTENT
ssdeep
|
3072:eCUgIkU4oA6emgck0F83zUjg+6Keu6iKcYIaue+32BSG:P3zUj+r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999c32c967633336 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
32b2b2b2b2b2b232 |
|
VISUAL
wHash
|
1818181818181818 |
|
VISUAL
colorHash
|
07002000680 |
|
VISUAL
cropResistant
|
c88e698e8eda5615,32b2b2b2b2b2b232 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.