Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16AF161E1C518DD37031286D5F7F52B4F76A1C359CF06098493F883AB9BCAC60CB16699 |
|
CONTENT
ssdeep
|
192:QKf379oh4lzH0X193wRAyS0XLy/0k/pqQR:QKf3QBwu7Ci0QpF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c9391c79392c3 |
|
VISUAL
aHash
|
f3f3f3f3f3c3ffff |
|
VISUAL
dHash
|
2627272707061e60 |
|
VISUAL
wHash
|
f3d1d1f1f1c3c300 |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
2627272707061e60,dee969aee859befe |
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.
Pages with identical visual appearance (based on perceptual hash)