Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DB12DCE0C454ED3A435352D9A7B5AF5B77A1C388CF03094553F4836BAFCAEA0CB115AA |
|
CONTENT
ssdeep
|
192:QLmWynbzDJ1Uqt8iIotUhHZJm8OCgjWdr:QLmWkNF1rtURZYFBWdr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6ba19ac3c999c26 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
320c0c180d001000 |
|
VISUAL
wHash
|
91e7e7e7e4fc0000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
320c0c18082d0c10,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.