Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6B2F962A1C47A7B01D353D5AB39A78BA3FA9069DB030B0155BECB1E0DC9C4ACD339D5 |
|
CONTENT
ssdeep
|
384:vc44+N0GvLWFiSUO+gksIpORdDwV9GGYcifgimhTh05LG:k44U0Gj2iSaD3OTw770Rmk5LG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93b3346cce6c309b |
|
VISUAL
aHash
|
063e0c3c3c003c3c |
|
VISUAL
dHash
|
54d8d86060687068 |
|
VISUAL
wHash
|
2e7e3e3c3c083c3c |
|
VISUAL
colorHash
|
30001008010 |
|
VISUAL
cropResistant
|
b0e0b26b6523a6cc,54d8d86060687068 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.