Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E5308369318267BA0078FC8BAB936C635F550CAF06A51DCE3F64656AFC1EF24C70964 |
|
CONTENT
ssdeep
|
768:kedfGDXcBCDM2qjmHcEBAQ8cMKJpayQDokOTbQwH9qxLxvmycZfj0/kYKdKkRC7z:keQDZMHy8WAQ8HJ65wmv4cTDq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e96d959252979236 |
|
VISUAL
aHash
|
ffd1f1f1d0f1ffff |
|
VISUAL
dHash
|
321333b3a1a10c0d |
|
VISUAL
wHash
|
9381c1d0c0f0e7ff |
|
VISUAL
colorHash
|
06601040000 |
|
VISUAL
cropResistant
|
321333b3a1a10c0d,964d751b5b79797b,1b2b3a7c7850c8d9,f10165cc888c5861 |
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 464 techniques to evade detection by security scanners and make reverse engineering more difficult.