Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DB2677C42A059BF0597C0F2F634AB2AE2899348D677A5C5A3FAC35E1BC9C92CD23154 |
|
CONTENT
ssdeep
|
192:/v3S2ujwmJhGHgUqXOTKuTUn+AZmCCv2eDEz7rOjOy9rHVf8OSoiiA/hrHt2xICH:X2Lz6gUqCe9Ms/rO6irVf8OACfFt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4b3d94c92726c9a |
|
VISUAL
aHash
|
ffe3e7e7e7d3d3ff |
|
VISUAL
dHash
|
2b0a4f4d0cb2b215 |
|
VISUAL
wHash
|
81e3e3e7c3d1d181 |
|
VISUAL
colorHash
|
07003000080 |
|
VISUAL
cropResistant
|
2b0a4f4d0cb2b215 |
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 194 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)