Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184E120F1D044ED3B435386D9A7BA6B4B77A1C349CF03054493F883AB5BDACA0CB1569A |
|
CONTENT
ssdeep
|
96:TkEJnbzD71tDlt8v67Mcdwv49wvF4QeJXlHFVeRXAX/Aytgbp6fq2J:QEJnbzD715lt8iIGw8fmWXYy6bpaqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e4439b1b9947c3 |
|
VISUAL
aHash
|
fff3f3d7ffffff00 |
|
VISUAL
dHash
|
062626a630460000 |
|
VISUAL
wHash
|
1000000010300000 |
|
VISUAL
colorHash
|
07000080030 |
|
VISUAL
cropResistant
|
26262626b0042000,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)