Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F12969654068DBFE11B0DC1F425263DE28AE26EEB765891D7ACC3B4C3C5FE0C97A904 |
|
CONTENT
ssdeep
|
192:MU0/3cyr/Dr25F9OYic88bKF0lFkecMqG7:M13Dr/v2xOFctbE0lFkec3G7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4ce9b319bce6430 |
|
VISUAL
aHash
|
ffffe3e3c3c3ffff |
|
VISUAL
dHash
|
000c062686060610 |
|
VISUAL
wHash
|
3c3c0000c3c3ffff |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
000c062686060610,c1c1c18343038181 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.