Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E22D87B9501C63A1FA7435DFBC1E38EA355C18AF63015C621E6021F1DC4BE6C672BAA |
|
CONTENT
ssdeep
|
192:6HDhNHD5HD8cHDml195AL2U3yqeLifMmUU8VCoT:jHiLV3yqxfMmUFCoT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3965656539383c |
|
VISUAL
aHash
|
c3c3dfdfd7ffffff |
|
VISUAL
dHash
|
9616331e1e362e2c |
|
VISUAL
wHash
|
c3c383c3c3c3c3c7 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
9616331e1e362e2c,4db8a24cd4640000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.