Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BD154739104E81A4FA7D18DFAC0E5D8A296C35BF63088C6A1D4906F6EC4EF584B137D |
|
CONTENT
ssdeep
|
192:iY0O0SlS5dXGGvXXOfMmUU8VCox090Ip010p0D0y0N:ibV+S/X5OfMmUFCoyuI6W6QZN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be5a42424e7a336d |
|
VISUAL
aHash
|
009f878fbfcfdbff |
|
VISUAL
dHash
|
51353e3970181636 |
|
VISUAL
wHash
|
00838787ff8fc3c3 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
51353e3970181636,000004b2b2b20820 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.