Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEB16235E4666E37228386E96BF54B0EA693CB14CBA71A0113F5C3DC4FD6E19DC0348A |
|
CONTENT
ssdeep
|
96:t3cpga+y0zlsP5IRnTcBuYfahtMEkZu7i0yb+yGRC2k/kMdfoXyw:+7T0S6LtIum0g1k7PMdfoXL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eced4316961233e5 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
281212362672d0d4 |
|
VISUAL
wHash
|
fffbc3d3ff000000 |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
203c02121d372642,143830b04cb69649,920892b296968292,107069c4d4d4d4c0 |
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.
Pages with identical visual appearance (based on perceptual hash)