Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3C2A47160406A3B02E383C97671776EB2D3828DEB46091653FD876D0FEBE10ED63969 |
|
CONTENT
ssdeep
|
768:81se3HjQTAnDh9A1dy5rJ9a3hY2VklcnJQLpWMWS9skC00o7sOy2+y9BH4crIe:81XjQT0D7A1dy5l9a3hzVklcnJQLcMWe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3479432bc3c94ec |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcc8c0c8c8cc8c00 |
|
VISUAL
wHash
|
06747800640effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,9cc8c0c0c8c8cc0c |
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.