Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3130D706040AE778A9391E5F6759B0F33D0C396C6870B0147F953EE6ECADA4ECA25C6 |
|
CONTENT
ssdeep
|
384:b9ifVgGVPrqyRQLSzFbnc6mFQx3dxbiAN7+:b9WUWzFbnc6mFQx3dxWs+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
caca4aeaaae2cb4a |
|
VISUAL
aHash
|
fd0000ffffff0000 |
|
VISUAL
dHash
|
29303090002a8494 |
|
VISUAL
wHash
|
ff0000ffffff0000 |
|
VISUAL
colorHash
|
130000001c0 |
|
VISUAL
cropResistant
|
0049014969a10106,01d4aaaa2a2bc400,000032306832320c,4094a5a484824cb0 |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.