Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB234B72A332B47883DB92DEE7382E56B2D2949DA8C74554F5C996CD13C3C802293BB4 |
|
CONTENT
ssdeep
|
768:anCv+EsZx8/G8Og4QdDawcMu/BufowkMu/Buf2Ucix+y9dQpUDF1E56ITmHDLBA5:anCv+EsZ/8ODQdDawcMkBLwkMkBxUXxc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3ec0c2c133343e |
|
VISUAL
aHash
|
fc9f0787bf0f0eff |
|
VISUAL
dHash
|
c8303c6c601138b6 |
|
VISUAL
wHash
|
fc1f078f1f0000ff |
|
VISUAL
colorHash
|
07030000000 |
|
VISUAL
cropResistant
|
c8303c6c601138b6 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)