Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EEF2D76412BC2FBE51C74AE4F7E67B2B63A982CDD71B4214A1F8C6E15BC7D18DC12680 |
|
CONTENT
ssdeep
|
768:i76A5k2Ka4W9KsHFsM4pbVyop3ZlgRjFzjtlLCL:i76SkaJWVyop3OA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dddc363636827189 |
|
VISUAL
aHash
|
e498183c18383c00 |
|
VISUAL
dHash
|
2c32326030606101 |
|
VISUAL
wHash
|
fed8f8bc983c3c00 |
|
VISUAL
colorHash
|
30e00008000 |
|
VISUAL
cropResistant
|
b02363ecc9f9f486,2c32326030606101 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.