Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A235A726332B8B843DB91EDF7392A46B2D25889F8C74554F1C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:adeAY+EsZx8/G8iu4XDawMMIBfowHMIBfkwZUcix+y9dQpUDF1E56ITmHDLBABWo:aS+EsZ/8iZXDawMMIBAwHMIBcwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef3ac594b3c59094 |
|
VISUAL
aHash
|
fd81818181fdf9f9 |
|
VISUAL
dHash
|
5941454155454541 |
|
VISUAL
wHash
|
fd81818181b9f9f9 |
|
VISUAL
colorHash
|
33000e00000 |
|
VISUAL
cropResistant
|
5941454155454541,a280c0899ddcc082,34338323a3a1a1a1,d8c080c0f4e2e2c2,4f4dd7539b9f9793 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.