Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151524572B3444C73869745C1BEF9FA367862F33CC8D7A40CAE9824690BF7AD47890556 |
|
CONTENT
ssdeep
|
384:pg+ofghhsoYWRSITNgT8TXTqvchPjE/Bjq/Vjb/QtZ8Lf1+VhunM5dEDVnGoR5k3:pg+ofghqoYWRSITNgT8TXTqvchPjEJjL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8a347b938c347b8 |
|
VISUAL
aHash
|
4fffffcfcfdfff00 |
|
VISUAL
dHash
|
dc12689414320030 |
|
VISUAL
wHash
|
0000fe8f8ffbff00 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
dc12689014324210,0020147161280000 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|