Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T136B3CD23411925274437C2D1346A5B3BE1B6D99BFAE70A410EECC7FA2BF9CA0B41B51D |
|
CONTENT
ssdeep
|
1536:xd1KT5IA66fzRdPud4iqQKQmws80OaoIwKilu8Sqyzam2L6Ui3itCFCPmYSqOrif:BUMSlQmqTlN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ed4d59ef6941 |
|
VISUAL
aHash
|
0004040404ffffff |
|
VISUAL
dHash
|
9cecccfcdcbc002b |
|
VISUAL
wHash
|
000604060effffff |
|
VISUAL
colorHash
|
12002000e00 |
|
VISUAL
cropResistant
|
4d50544c112020c0,00004020a0400000,000041a121410000,00204020a0004000,8c9493985aaa2022,3c000956562b2b2b,d31ceccc9cfcdcf8 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.