Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3E13370611D352E6A278DC4EE72D61667AFE33AB61782D06EBDC7B04AD3CE1D903804 |
|
CONTENT
ssdeep
|
192:pF9GMWKnnq1NcqDBWOWkxA6lkHoBvVaHolKWXoQgbkEKEOhw:pF9GMWKqT1DBXnlkHoBvVaHolKWXoFbl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f373594d4c4c4c66 |
|
VISUAL
aHash
|
00ffe7ffffffffff |
|
VISUAL
dHash
|
cc084c0c0c000000 |
|
VISUAL
wHash
|
00e5e4e4e4fcf0f0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c0c0c0c0c000000,004020d4d4d42000 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)