Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D533BE83711F3254A7302E741AF3556733DB51B280C09D0A22DE9E9E6B44E6B06BFD9 |
|
CONTENT
ssdeep
|
768:FFYjIynGjc0pI5kTpi6GMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:JynGjc0pIQpXzev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b18cce8f66272764 |
|
VISUAL
aHash
|
e7dfc7c3c3c7c7c7 |
|
VISUAL
dHash
|
4c101e1e1e1e1e0e |
|
VISUAL
wHash
|
20cfc3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
4c101e1e1e1e1e0e |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.