Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119D29471B1002A3B529383C97760F75FA2E3A289DB85090562FCC7AD5FDBE50DE2351A |
|
CONTENT
ssdeep
|
768:xeFy5NyAViqBohyyoknjwONFBHPe7sOy2+y9BH4cLIe:tViIohbj/NFk7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362d53ab92d85c6 |
|
VISUAL
aHash
|
002030000000ffff |
|
VISUAL
dHash
|
9ccdc7c3cd0cd100 |
|
VISUAL
wHash
|
00fdf1710000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200c00258d88000,dcc9c5c3c3cd0cd0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.