Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162E2A731D019A93F069BA6D5EB71A35B62D98389DE03072A82FCC74D1FDFC50ED128A5 |
|
CONTENT
ssdeep
|
384:SUgpIIhLIIIIII9PlB31/Aj+Uqs+xJkel6hix6gELpvVxpW:YIIuIIIIIfCYxuL6hELy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e37c1c1939e696 |
|
VISUAL
aHash
|
00e3e7eb3f3c1818 |
|
VISUAL
dHash
|
8fcfcfcbf5e4f0f0 |
|
VISUAL
wHash
|
00e3e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
a7e6e6c48c989819,0000e0c4c4540000,8fcfcfcbf5e4f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)