Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109E2C631E208693F16A766D1B7B5A35B63868389DA43072902FCCB8C1BEFC50ED175D9 |
|
CONTENT
ssdeep
|
384:BLIIsGIIIII9DlBqakNkYAkv8cY7jAC9jK+o6BLizpW:RIIHIIIII63Mr9G+Fd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e1791c9c19e3c3 |
|
VISUAL
aHash
|
00e1ffff7f181838 |
|
VISUAL
dHash
|
93c7cbf3ed73f0f0 |
|
VISUAL
wHash
|
00f0ffff7f181810 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d2ee9c988c0c,0000616969600000,93c7cbf3ed73f0f0 |
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.