Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6A184F35149613703A683D17696BF0BB346915ADA231E11EBE48BE9A8D6FE0E932014 |
|
CONTENT
ssdeep
|
96:bX3uBrRHy8RvuBEK9tB0QESJS9GEUVwO9uo:T3cRS8RvNK9tB0049GEUV19F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3644cb3b36464b3 |
|
VISUAL
aHash
|
0600000f0f0f0000 |
|
VISUAL
dHash
|
142bd45c5a5a0018 |
|
VISUAL
wHash
|
ff006f0f0f0f0000 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
0010080808300880,8200210d0d011082,8008100c0c081000,142bd45c5a5a0018 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.