Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1512153327014AC3E1623C7CAF7987B3226E9E6D4C50B150066DE83A94BD6D64FC6A284 |
|
CONTENT
ssdeep
|
24:hR/Y9XqJRhMZcagfydjojhllUYllVrbcFsqQ+vfIvuDZ5wPfMX:Twwg9mlZIFJfIvLcX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f070f0f170f070f |
|
VISUAL
aHash
|
3f0f1f8f1e9fbf1f |
|
VISUAL
dHash
|
6072301a3832633b |
|
VISUAL
wHash
|
000f7f8c1e9c9f0f |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
6072301a3832633b |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)