Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AA729875A24C093DB603C7A4E7897735656E9287DB0E811CF4BD02B2A547C49EC3B2EC |
|
CONTENT
ssdeep
|
192:vgfqV5P+OY6RO18klOhMxXRzpHorDjzMLUwzlmKCl+UlIYlLGVAcShTtM5pq/4k:v8uA/bHiCUMPGnjaV9Uck |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a4cece6c646c656c |
|
VISUAL
aHash
|
ffffc3c3c3c3ffff |
|
VISUAL
dHash
|
2708969696961606 |
|
VISUAL
wHash
|
81c7c3c3c3c3c3cb |
|
VISUAL
colorHash
|
0e003018000 |
|
VISUAL
cropResistant
|
2708969696961606,0310003030001000 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.