Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150C29476A1202A3F0193C3C87761F71EA2E39289D745190A52FD87AD4BE7E90DE3351A |
|
CONTENT
ssdeep
|
384:d6SaYby5Nwr8cuDYU5L+RPi38hgYRlKNRriYaO0T6n+U9gBggIYsOy2+y9BH4cCM:sS5y5NwVmLkTrccmM7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f438b929c5c7 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9cc4c0c0ccc7d700 |
|
VISUAL
wHash
|
00fc70302423ffff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
0480800458988000,9cccc4c0c8ccc7e7 |
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.