Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18EC29832B110763B52D7D2C9B361B32EA2E3824DD6460919A1FDC39D0BE7EA4DE33116 |
|
CONTENT
ssdeep
|
768:xScy5NOdXnUrNOQY6go7sOy2+y9BH4cLIe:XXncuo7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1adc29c3c6 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
948ccac2e0cce100 |
|
VISUAL
wHash
|
00e7f0703004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
d08080024c888000,940ccec2c2c8c9e1 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.