Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE637632928658139197D2D8F1709B0E3281C785CB134F6563FD67BEBECACB5AD2129C |
|
CONTENT
ssdeep
|
1536:FYZPwKV91N1M3D1wi1F1Uql171o1i1CpZCmL/yeeeewyeqeMeeeeHIeeeeoyMIuK:+VvM3BwonUcZioE125yHuG83EDITIINQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93cd3638d3c99269 |
|
VISUAL
aHash
|
3030787a48464646 |
|
VISUAL
dHash
|
6b67e2d29a88988c |
|
VISUAL
wHash
|
f1707e7a42464e47 |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
6b67e2d29a88988c,29f4649866fc3535,aa79306431072baa,2764e7f7e3ca6823,d7693248cccc442c,9597e328d0e0f090,9793d6c449239771 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)