Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13ED298326110663B419791D57361E32EA2F353CEE786091653FD83AC1EE7E94DE3342A |
|
CONTENT
ssdeep
|
384:LfcSby5NJGOWTIwCxHppMm8V0YeY1T4unsuWdZgjI4s3IYsOy2+y9BH4cCUIe:4Sby5NJA4014LuQp7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9267fc32e91c90e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9cccccc8c8dc3c00 |
|
VISUAL
wHash
|
00f66c20600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca714d4d4d715596,1080800458988000,9cccccd0e8c98c3c |
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.