Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFD360D55618038CA04BCA6DEF2FFE05131FB5AABA544A80294EC26C96CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:IZ0RQ7HU7q+9VmxXBZkgc1ztsIPDLzlFsR8MLqcDXFsR8MLqceWx:m0RQ7HiqmVmxX7kgc1ztsGDLMqb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9612696bc36cbc3c |
|
VISUAL
aHash
|
003c3e7e3cff00ff |
|
VISUAL
dHash
|
e0f4f4d4c4030108 |
|
VISUAL
wHash
|
003c3c3c3cff00ff |
|
VISUAL
colorHash
|
1e001000e00 |
|
VISUAL
cropResistant
|
ec707672647414a4,0000000000000000,00000808080c0000,c0f8d4f4f4d4c0c4,0000000000000000 |
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 145 techniques to evade detection by security scanners and make reverse engineering more difficult.