Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12263A7F20140AE7F104382C1D759935AA3C5CA0ACBD28B47E7EC836EB6D7D94EE36165 |
|
CONTENT
ssdeep
|
768:KMmovnbzvHHI37UTPnTLMEvfPrnDXIkTmovnbzvHHI37UTPnTLMEvfPrnDXIkg6O:+h40ZY6I0c2CC1a0Jv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eccd9293c5c196c6 |
|
VISUAL
aHash
|
fed191d1f1dfe181 |
|
VISUAL
dHash
|
c833373323390727 |
|
VISUAL
wHash
|
fe91b191b1cde181 |
|
VISUAL
colorHash
|
0700b000080 |
|
VISUAL
cropResistant
|
c833373323390727,ccce9e9aa6868ea8,1e5b2ce4674f1387 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.