Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15282E73783752A6E02B1C3D7AF59B26EA243408DC6701DA57768C25D92DBFE13C722D4 |
|
CONTENT
ssdeep
|
384:LCBfsBn+dscUH+Vs5xZyZtMT7Cs1ylhLvo:wfknh/HnbZyZtB5LQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b67643965646565 |
|
VISUAL
aHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
dHash
|
7169696969696969 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
07000000046 |
|
VISUAL
cropResistant
|
32cc8ece3c2e6e53,7169696969696969 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.