Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11F711371921C2D3D360746C9E739775931EB539AEB0A20143ABC03B497C6E6EED770A4 |
|
CONTENT
ssdeep
|
48:TU9q57ZAuK5Lo+Wws3EqyPMrCgz2i93SggVBGF706voT1pAe8rSA4ie14nZY/aba:TUSKtNo+WnEY5gLGFloT1uU1ubo5MA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b39c9c37360c999c |
|
VISUAL
aHash
|
ffffffe7e7e7e7ff |
|
VISUAL
dHash
|
200c224d4d4c4c31 |
|
VISUAL
wHash
|
ffffffe700001800 |
|
VISUAL
colorHash
|
070000001d0 |
|
VISUAL
cropResistant
|
200c224d4d4c4c31,616941414d33334d |
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)