Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B2E1FEF0D054ED3B435386D9ABB66B0B77A1C349CB030A4493F893AB5BDACA0CF15599 |
|
CONTENT
ssdeep
|
96:TkInbzD71tDlt8v67ZDatGTSS8ctkJwvFdeokXNHFh5eEOX1X/c+Yfd2J:QInbzD715lt8iAtGBuRoUU7X0+cdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b04c93b34cccb3 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
060e0e0b08344800 |
|
VISUAL
wHash
|
ffe7e7e7e7000000 |
|
VISUAL
colorHash
|
07000c00000 |
|
VISUAL
cropResistant
|
060e0f0a160a0a36,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.