Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9833B643A1DF56629B383D750DF21037379521B680D0C206621FDAEB6BCC9AE067FDA |
|
CONTENT
ssdeep
|
1536:MPixcQki7UrDoTplVlbWpmzhizeaahRYxSnGnKjOWeN:ExkRgQwzeDRJOWeN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d8d2233998cecc37 |
|
VISUAL
aHash
|
fcfefe7c18180000 |
|
VISUAL
dHash
|
8c88e0b0b0b2ccac |
|
VISUAL
wHash
|
fefefe7c5c180000 |
|
VISUAL
colorHash
|
09002080040 |
|
VISUAL
cropResistant
|
765457a72757d468,8c88e0b0b0b2ccac |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.