Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E942B67012201A3EA4574BB4F1607F39F1AED389EF1B786CF2AC85762BC6C68C99D550 |
|
CONTENT
ssdeep
|
192:lS5AMAvA3AgAnAyZu38NSBrhB860efowLxdJwPzIpuMZcuGy5mdbpvdIOnsbKeEx:8KzoQHA8u38NSBj860eA4dJKFWbNETFz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3f11e4e2194696b |
|
VISUAL
aHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
1a1bdad8dbdb585b |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
030000001c8 |
|
VISUAL
cropResistant
|
90aa89b1968ea986,f0f0b2e8cce8e0f0,646c935752b232f4,8084b2b068540c0c |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.