Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADD2983171106F3B42D793C9B362B32EE2E38249E6470819A1F983BD1B93D65DA37527 |
|
CONTENT
ssdeep
|
768:iScy5NZaLeP98+LVPtzcb7sOy2+y9BH4cLIe:wLocb7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361b43a9d29d3e1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1cc4c2c2c8cdd300 |
|
VISUAL
wHash
|
00fff0302004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,9c84c6c2e2c8cde3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.