Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108B1FD34A18AFD339183D2E592F0E75FB1D68A0ACE46670646FC439A07CBD90DF685A4 |
|
CONTENT
ssdeep
|
96:Bwcnv+xFeA912zeKSF7D8bH7CF430Dh7slhARaunyFu3F4efjFOW:Bh2FeA912SnF7DuCF4El7EHFuF4uFf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
993166ce33999966 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
0430323232323004 |
|
VISUAL
wHash
|
303c3c3c3c3c183c |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
0430323232323004 |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portugués | Inglés | Trigger |
|---|---|---|---|