Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9030E725605EB7F15C3C6E8D732866A338E9219FA1B92D147ED87B85EA7E80DC1340C |
|
CONTENT
ssdeep
|
768:I4lULAWmPgfKg/UW4HidtJyPghs85OZsCOnf17WZqbSPgab1PgNb7PgubcPgybN2:/UUWmPgfKcUIyPghsQOWCOf17+quPgaO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a4999b66659b6683 |
|
VISUAL
aHash
|
ffffc3c3c3c3ffef |
|
VISUAL
dHash
|
8c148e8e8e861c0e |
|
VISUAL
wHash
|
47c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07400000003 |
|
VISUAL
cropResistant
|
8c148e8e8e861c0e,8b9696969299a496 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.