Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114E12FF1D454ED37475385D9A7B56B0BB792C389CF030544A3F883AB4BCAC60CA1669A |
|
CONTENT
ssdeep
|
96:Tk+O7M7E7+OSnbzDJ1tkUcf7xt8v67McdtG2+8wvFzQexXEHFJe9XLz/OHYfd2YW:QwnbzDJ1bc1t8iIGtGBpieNzCcdn2qg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f58a0cfd0a75dc0a |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
2008080ec11616e9 |
|
VISUAL
wHash
|
9fe7e7e7ff000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2008080c0c001616,96161e16c1020000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)