Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15931723274049C3A19338B49F7957B3712558294D70E1900E2DED36C5FC6DA4EC2A288 |
|
CONTENT
ssdeep
|
24:hR/Y9qRhMZkA/ndjojhllV9DNlakZqQ+v7MxIvSVf5JPSk+VX:TwKgkGI07MSvStqk+VX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f070f0f17071f0d |
|
VISUAL
aHash
|
3f0f1f871e9fbf1f |
|
VISUAL
dHash
|
6072282a382a633b |
|
VISUAL
wHash
|
000f7f841e9e9f0f |
|
VISUAL
colorHash
|
070010080c0 |
|
VISUAL
cropResistant
|
6072282a382a633b |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)