Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE045DF53659F5A60AB747A7806F0102B3395C3B140D592063A8EDDE32B9C9EE0B3F95 |
|
CONTENT
ssdeep
|
1536:R7ACq/PvYI8/5TGdiOo7a6Ih6PgRwT/x2t8qL1g/cF7yCRFX6CzbxF9sPaPJuBy8:In8Oo7SQ4Ra/8cKbCy8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6989866d992c5c7 |
|
VISUAL
aHash
|
c7cfffe3e3e1e7ff |
|
VISUAL
dHash
|
3e3e6c0b4e4f4f12 |
|
VISUAL
wHash
|
838383e3e1e1e3e3 |
|
VISUAL
colorHash
|
07601000040 |
|
VISUAL
cropResistant
|
3e3e6c0b4e4f4f12,a01020e4e4308000,08223c386031652c,cd4d4dac2f6fad3c |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)