Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132E2D631A049783F09A7B6D1FB76A35B62C68389DE47435A42FD8B4D0BDBC81ED024D9 |
|
CONTENT
ssdeep
|
384:toIIokXIIIII97lBmR1MbLPJV6zoclIa3RQvpW:CIIRIIIIICMnRV4oU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c1c3963c69c |
|
VISUAL
aHash
|
00c1f7ef7f3c1818 |
|
VISUAL
dHash
|
8787cfcbf1e5f0f0 |
|
VISUAL
wHash
|
00c1f7ef3f7c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d988c8c,0000c4c4c4440000,8787cfcbf1e5f0f0 |
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)