Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15574222342197A2A4437C3D074659B36D1A6AD9FFEA30A404FECC7F66AFDC50B40A61D |
|
CONTENT
ssdeep
|
1536:a6UgQmTa3MZo+Hd1+94F32ud+Smfu4/ZT4oU5yooscWN8Ws/iQq9jK/TZfT8i1GX:lOQUFufQW7N8Wi1G0Pjd3secat4YoN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be19c1679b3c2499 |
|
VISUAL
aHash
|
ffe3839fbf83f7ff |
|
VISUAL
dHash
|
c84e363d71662411 |
|
VISUAL
wHash
|
7e00030f1f0397ff |
|
VISUAL
colorHash
|
07030000000 |
|
VISUAL
cropResistant
|
c84e363d71662411,450131b2b2090145 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.