Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1605161704004AC7306CB99F6AB65A35F72E6C24CDD27470162E9C3AC2ED6C8FCCB2155 |
|
CONTENT
ssdeep
|
48:bCGgiEtq72q7EOXvfzTM6QYCD5I/UtuMIzAOCzet1NyG:2GvEtBAX33M6zCDRtDeh/b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91cefccee0c0de41 |
|
VISUAL
aHash
|
ff0f0f4f0f0f0f0f |
|
VISUAL
dHash
|
d8dbdb9bdbfb9a9a |
|
VISUAL
wHash
|
7e0f0f0f090f0f0f |
|
VISUAL
colorHash
|
06400000c00 |
|
VISUAL
cropResistant
|
d8dbdb9bdbfb9a9a,cca0b1cc8e1b9382,a280802b2bda80a2,f1dfe0687effe3c1 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)