Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193C29631A1002A3F42D783C97361F72ED2E3828ADB4A181552FD939D5FE7E90DA17527 |
|
CONTENT
ssdeep
|
768:8SCy5Ny83utfcJyBlUgo3g7sOy2+y9BH4cLIe:R3uFhU73g7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8363f138dc4cc6c7 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c49c2e0f8fdf300 |
|
VISUAL
wHash
|
002f70181c0dffff |
|
VISUAL
colorHash
|
11018000600 |
|
VISUAL
cropResistant
|
2080802058d08000,1c18cae0f0f8fdf5 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.