Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19742B7A60250182D791787E4FB51BF2A81AFA3D9C687992CB17D41722FC6CB4C9DF390 |
|
CONTENT
ssdeep
|
192:yqXtKh1K4Z8oLxkZiMhhR0Eiic4RC+yI02o5C+t82o5C+X62Yi+8ombu:lQhsPiv3/+d0Q+yQ+Kj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3642b9a8ecbcc68 |
|
VISUAL
aHash
|
bd4242ffdf5e26bf |
|
VISUAL
dHash
|
6b8e8ce8b0b84872 |
|
VISUAL
wHash
|
bd4242665e1c2cbf |
|
VISUAL
colorHash
|
07003040080 |
|
VISUAL
cropResistant
|
6b8e8ce8b0b84872 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.