Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3F19472A059F93B0293C1D4D6A5F76931CD8389DB431B5043F887EE8BC6EE5ED26280 |
|
CONTENT
ssdeep
|
96:MuF2W7jErWiQYG0vK472PyXM37OHN0NPQSLVht8YSTFyqGP0/qtDnE8HU+CNxLY5:/iQYBf7SfuRFGcSdnjQY5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a348e2e25933d367 |
|
VISUAL
aHash
|
0000000027ffffff |
|
VISUAL
dHash
|
c9a6f27a4a0ccece |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0e202000180 |
|
VISUAL
cropResistant
|
a3b3cecac3c5c7e3,7e1ad8db91919999,ce0d8ececcceca00,c9c0a6e2f2b25aca |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portugués | Inglés | Trigger |
|---|---|---|---|