Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEC2EF60A54A15775AA38AC4EC743F6971D3F30BD25B90466AE843E48FC3CB4FB264B4 |
|
CONTENT
ssdeep
|
192:6+HQwQ748WPQWbbCOQ8PDIQiQiQPWDB0uoLu+0rCsgxfv+VowGGg95lqyCrgis:6EQ+8WjPkDB03Lu+6GY/GGg9TCEis |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92f76c3e91612c1e |
|
VISUAL
aHash
|
82848eee8e060040 |
|
VISUAL
dHash
|
320d1c9e1c1c419e |
|
VISUAL
wHash
|
83c4ceee8e8e007f |
|
VISUAL
colorHash
|
30200030000 |
|
VISUAL
cropResistant
|
a284b80c4e5ca082,2396d070f0f070b8,320d1c9e1c1c419e |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.