Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174C2857161506B3B0297C2D8B7616B1EA2E3824DEB960B0253FD876D0FDBE14ED23625 |
|
CONTENT
ssdeep
|
768:feLzXLYgFddghhZXyenCiBmk7sOy2+y9BH4cLIe:mEoYPXRD7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3479432bc3cb0e9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcc8cac8c8cccc00 |
|
VISUAL
wHash
|
06746060444effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,9cccc8c0c8c8cccc |
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.