Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCE1A76FD30843350E6103D4EB76B5FDDB1748ADE3A0987CA8D8952C2392D5144B3AEB |
|
CONTENT
ssdeep
|
192:5C08yZTPeFw1eiemtemeueTmqB+JbamZf:5C9I7eFw1eiemtemeue6Q+JbaIf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8a35b174e57b54a4 |
|
VISUAL
aHash
|
003f7f3c0000ffff |
|
VISUAL
dHash
|
b6fdf869f4f8f1f0 |
|
VISUAL
wHash
|
003f7f3c00007fff |
|
VISUAL
colorHash
|
06006000000 |
|
VISUAL
cropResistant
|
dafa7efd69a1b0a1,3e3ae9cacac84c49,40b0b045d08719c0,b6fef9e969f4f879 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.