Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F425133A500DE2D8D9B55CCF2C08688425ED345FB7148CAB1A491BF3BC9DF168AA39D |
|
CONTENT
ssdeep
|
192:ZJ5WYc/cXchJCTJkxrYSBExbHMcnthWeNWbcmVfMmUU8VCoXw:Lc/cXchJCTAYvvmVfMmUFCoXw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d656545d55545666 |
|
VISUAL
aHash
|
f4e6e7ffff3d83fb |
|
VISUAL
dHash
|
0c0c0c00497b5504 |
|
VISUAL
wHash
|
e4e3e7fffd0000c0 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
0c0c0c00497b5504 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.