Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1538255F23816282A114B81CFD163630DA3C1B3C5CFA25ADAE5F4872E4BF1D62F659758 |
|
CONTENT
ssdeep
|
192:rR9Mrx30ORUU6L6zdXReLTOesjlIYYiqiOO6G6KOyudOGr:rR9q30OQezzeLYWY0RHhKdc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e619596659596659 |
|
VISUAL
aHash
|
00ffeffff7f3ffff |
|
VISUAL
dHash
|
3608181c04240004 |
|
VISUAL
wHash
|
00c3c3c3e0e0f0f0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c1c181c24240004,101a32b2b4b21a10 |
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 984 techniques to evade detection by security scanners and make reverse engineering more difficult.