Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6425133B200CD6A8DAB558CF6C49A49415ED34AFB3148CAB1A081FF7BC4DF069957AD |
|
CONTENT
ssdeep
|
192:9W3J4Yc+cschsIanEadBas1xzwVccTioGMcnthWeNWbNfMmUU8VCoPI:sc+csch/cEgGccTiufMmUFCoA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b3b326a6662626 |
|
VISUAL
aHash
|
ffffe700000000ff |
|
VISUAL
dHash
|
4d124c3008000000 |
|
VISUAL
wHash
|
ffffe700000000ff |
|
VISUAL
colorHash
|
02007000000 |
|
VISUAL
cropResistant
|
4c4db24d0c300000,0000000000000000,2995c9c9d93b4509,5965c4d40d554500,0000000000000000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.