Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162819713102D4E3713910DD1E4D6A653D4EF429CCB60FD7978F8827E27D9E5480BABA9 |
|
CONTENT
ssdeep
|
48:xDT5mbsgDxwmwLAwLC3wCgwgwa6wCowowCqvwwzAwHwJZrsTXjgvuAZl8BBwh2ab:HmICzJNwrCXEvL/GbA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9d9662699996626 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
f0ccb2b2b2f0e0f0 |
|
VISUAL
wHash
|
183c3c3c7c7c3c3c |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
8c4c706860303313,f0ccb2b2b2f0e0f0 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)