Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5E130E2D050DD3B035786D9B7B96B0BB291C749CE43064453F883AB6FDAC60CF15589 |
|
CONTENT
ssdeep
|
192:QA2F2HngkXDa3zt8iICd52h+Jc2Oz8/2X+52tE/w:QAotkXoB1RngH/8/ZiE/w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c639c6ce31c3c6 |
|
VISUAL
aHash
|
ffdfffdfdfcfcfcf |
|
VISUAL
dHash
|
123000b0249a9a9a |
|
VISUAL
wHash
|
ddcfcfcfc0c0c0c0 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
123000b0249a9a9a,63cca4b18cbca5ac |
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.