Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB724672618099770593E3E5D371BB5FB2D18289CAA31682E2EDC35E5FC6CB7DC22205 |
|
CONTENT
ssdeep
|
384:1Kq9No3Vn7PjNjHvRGfnXw892uNCN6+Kw+KeVmEg:/bo3VTj7QnXw80++Kw+KewEg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
923131136ccecdcf |
|
VISUAL
aHash
|
0c8eff3c3c3c3c00 |
|
VISUAL
dHash
|
9999796561696969 |
|
VISUAL
wHash
|
0ccfff3c3c3c3c00 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
9999796561696969,3333335ab7ab9ab6,9249b6b6d2d42190 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)