Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACD29571A0605A3B42E786C877A17F2E63E3828AC689045586FD83F95FD3E08ED33755 |
|
CONTENT
ssdeep
|
768:3er9Rlcc3ctlRJlu27ftRTuZ7sOy2+y9BH4crIe:cRlcvtllfDTuZ7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c303bd3af02cbc8e |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
48c8c0c8c894e500 |
|
VISUAL
wHash
|
003c70e0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
408080004c888000,6dc8c0c0c8c890e4 |
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.