Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E36383B0E421A9370163C2FDF7A1AF8AF3D5E202C6D6464293F4D3594AE7C98ED22751 |
|
CONTENT
ssdeep
|
768:doAF5rtZeejMaASsfvhmHAPYSibu9RzOeuTbHoJHyO3EUrMpxMpHCsn0wsrAwUgE:7Ze9fUgFHEmi2Xs0Ln7aW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b0be4b19fcc6431 |
|
VISUAL
aHash
|
ff00003c3cffffff |
|
VISUAL
dHash
|
26cbe969f98daae8 |
|
VISUAL
wHash
|
ff00003c3c66c3ff |
|
VISUAL
colorHash
|
0e000400030 |
|
VISUAL
cropResistant
|
8e8eb8b286dc5b98,26cbe969f98daae8 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)