Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1234BB26332B47883DB91DEE7382D46B2D6589DF8C74454F1C95A8D23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aoBNBcBV+EsZx8/G8B4RDawsMLB5w7MLBXwZUcix+y9dQpUDF1E56ITmHDLBABWo:a/+EsZ/8yRDawsMLB5w7MLBXwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ebb69449e01ed1e2 |
|
VISUAL
aHash
|
ffe7e3e1c19999ff |
|
VISUAL
dHash
|
694d4f0703333300 |
|
VISUAL
wHash
|
bf81c181819999ff |
|
VISUAL
colorHash
|
07600080000 |
|
VISUAL
cropResistant
|
694d4f0703333300,070f0303430323a3,0000000000000000 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)