Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198C38371C4B7497B137F6284E5AA97527BD3C70BC7E92BE642E4A2C44ED2C856C0720E |
|
CONTENT
ssdeep
|
768:vjEY05jiqHiqm0rvyjdtU9FnuecBG27qYYRYuweE4yWlOliYTLEwUNSpauqNI9fZ:7s60rvyjdtU9Fni6DKoFFECH/8+g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8a0af371c5f1619d |
|
VISUAL
aHash
|
ff1d1d1d1800ffff |
|
VISUAL
dHash
|
f879fbf972793856 |
|
VISUAL
wHash
|
7f1919180800ffff |
|
VISUAL
colorHash
|
07201030000 |
|
VISUAL
cropResistant
|
f879fbf972793856,b8b4bcfef6b4b44d,1f1f153f5f4f4e76,d999a92149190b83 |
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 359 techniques to evade detection by security scanners and make reverse engineering more difficult.