Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F435B73672178AD82DB42EDFB382E59B6C5945DE8C70040B2D8A6ED23C7C917287B74 |
|
CONTENT
ssdeep
|
1536:aW+EsZ/8BeEZDT1eJRGMjB9RlMjBiDrpRXPZlQaQD9OehM+BrUgq4z:ajjRhRZDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3ccc8cccccccccc |
|
VISUAL
aHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
dd5d5d5d5d5d1d1d |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
33000000e00 |
|
VISUAL
cropResistant
|
dd5d5d5d5d5d1d1d,9111082940994048 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.