Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150A34B703658B57A69F343E350DF2212B278952F940F4C60B350ECAA73ADC5AA067FD9 |
|
CONTENT
ssdeep
|
1536:kVHGtyqHrDTVq53QSoHxh8N6FmbXhjaPnQsR+Fuopc:kNGtyqHrDTjzmN6UbtZ9S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe4d6ea0aea28d88 |
|
VISUAL
aHash
|
000000ffffffffff |
|
VISUAL
dHash
|
2330302a2a8c0d2b |
|
VISUAL
wHash
|
000000ffffe7e7a5 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0240632363000000,c0c0a0ba8ea880c0,222a2b000c0d292b,0030301030323008 |
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.