Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A233032729E08960333C4C5BD647F14A8A6F34FA5260B807BEE2EB41FEBC75B452655 |
|
CONTENT
ssdeep
|
192:jkB7Dfaa6LZI9R0+tVh8hUkHvrTjLMGNejqFzUUpILjHHDvBUOawdhmZs6ZVH8jP:j6Wf08THHjCHHTBMamXZVH8SoKWblx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3646cc353c3ce6c |
|
VISUAL
aHash
|
00003c7e3c3c3c00 |
|
VISUAL
dHash
|
c806e0c8e8e0e802 |
|
VISUAL
wHash
|
00007e7e7e7e7e18 |
|
VISUAL
colorHash
|
07000010006 |
|
VISUAL
cropResistant
|
17d6c4dcdcc0c403,c6c6d8d40068e890,c806e0c8e8e0e802 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|