Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141335C726731B8A983DF51EEE7382D49B2C6489DECCB4540F5C95A8D23C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:af+EsZ/8JBDVRnMuBuREMuBnDrpRXPZlQaQD9OehM+BrUgq4z:awQRQRoDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fad0eccd939284e4 |
|
VISUAL
aHash
|
ff81858d81818181 |
|
VISUAL
dHash
|
23414d49494d0129 |
|
VISUAL
wHash
|
ff81e7ad81e98181 |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
23414d49494d0129,1fdfcfafe6e6d0e0,61828c88c8ca28a8 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)