Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DC3DF27415979274437C2C174799B3BE1E68E4BFA920A014FEC87FA5BF9CA0741B22D |
|
CONTENT
ssdeep
|
1536:YGSUgQmTa3MZo+Hd1+yuHbhuaXuH7c5qcm0+h8qbuaINvMAa6cBe:YfOQ0K0+PuaINOM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92cb0775b4c98aae |
|
VISUAL
aHash
|
fe3cfdfec6800006 |
|
VISUAL
dHash
|
c061f190ac0c2f2c |
|
VISUAL
wHash
|
ff7cfd7ec6000006 |
|
VISUAL
colorHash
|
18006000080 |
|
VISUAL
cropResistant
|
82609e9e86962582,c061f190ac0c2f2c |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.