Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156B3D0234159762B4437C3C1306A5B3BE1A6D99FFAE70A014EDCC7F62AF9CA0745A12D |
|
CONTENT
ssdeep
|
1536:aStpR4nXBKpSpFl26vLSZ6Zq2lHlo8Ck0Oh:9UMolFo8ClOh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93696c1313696d6d |
|
VISUAL
aHash
|
001f012e7e3f0103 |
|
VISUAL
dHash
|
d5bd79dcdcdcbb77 |
|
VISUAL
wHash
|
000f012f7f7f078f |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd7bb9b898d96bcf,d5bd79dcdcdcbb77,a04343c6a55b518c,06432193960e3a32,ea110d33330d11a8 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.