Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFB396F3F075283A026B91C6425B3A4EF6C5DA89DFA10791A6FCC36C5BE5E90BD03509 |
|
CONTENT
ssdeep
|
1536:YWbDhGUEeDcmfknhqgkeXg2+nNHzW1SW2VWPSA2+VeXwqgoNHXMPFRxJd5gCKK:zx7Z0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c743b83d1ee519e0 |
|
VISUAL
aHash
|
00647434300af2e4 |
|
VISUAL
dHash
|
33c9cce86912868d |
|
VISUAL
wHash
|
807c7e74700af2f6 |
|
VISUAL
colorHash
|
30000c00000 |
|
VISUAL
cropResistant
|
9a85848484840696,ecacbbbbb6b6a8ae,d8d6c4c47859888c,33c9cce86912868d |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.