Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192E11DF0D004ED3B435386D9A7BA6B0BB791C749CF03164493F893AB5BDAC60CB1169A |
|
CONTENT
ssdeep
|
96:TkDLnbzD71tDlt8v67McdwytFoGwvFde5XBHFteRXAX/WYfq2J:QDLnbzD715lt8iIGwy3oU/WmX+cqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8b843c71cc747c3 |
|
VISUAL
aHash
|
ffdfffdfdfffff00 |
|
VISUAL
dHash
|
2038103030400000 |
|
VISUAL
wHash
|
10000000dfffff00 |
|
VISUAL
colorHash
|
07000000188 |
|
VISUAL
cropResistant
|
2038103030000000,0000000000000000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.