Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13772B7718040E93B1A83F2D2DB316B1EB3C69319DB230605A3F4879DAFD7D66CD16626 |
|
CONTENT
ssdeep
|
192:4c1EuQcZw+pCbiwTiO9ipki1KiVLunMaY69GF5:4ci1cZw5VGTVLuMn69G3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c7c43996669369 |
|
VISUAL
aHash
|
ffc3c383818181df |
|
VISUAL
dHash
|
2d330b2b333b3333 |
|
VISUAL
wHash
|
ffc3c383818181df |
|
VISUAL
colorHash
|
0e000000c00 |
|
VISUAL
cropResistant
|
2d330b2b333b3333,61a9ce54911e9013,a585d8f0c5110101 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.