Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103A1AD509918B91B7A0384EA5EE0D71DCED2822ADC0202C4D7A91EDE4FDEC35D15EEE6 |
|
CONTENT
ssdeep
|
96:jM8U7kLcfR9zaKTihmEtU86ARx9qhKfGREtX86RRqv:jMn7k4fR9m+i85Qx9rf4uVqv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ef2219c8a77ca98 |
|
VISUAL
aHash
|
80003c3c3c3c0000 |
|
VISUAL
dHash
|
1c9c696970701acc |
|
VISUAL
wHash
|
dfeffc3c3c3c0000 |
|
VISUAL
colorHash
|
19001000180 |
|
VISUAL
cropResistant
|
8c9ccccce0e0cc8c,1c9c696970701acc |
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 93 techniques to evade detection by security scanners and make reverse engineering more difficult.