Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14BA2DD719968AD66C082C3F04624275A33D77199C74F020693D5D7E0EB8BECBED729AC |
|
CONTENT
ssdeep
|
384:CLMAMYWvIyyyyAyyyyByyyy3yyyy9yyyyIyyyyNyyyyLyyyyRPcr6l:8KYWvIyyyyAyyyyByyyy3yyyy9yyyyIl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e699cd22669b9964 |
|
VISUAL
aHash
|
fbfbffe7e7e7e7e3 |
|
VISUAL
dHash
|
b2b2b22c4d4c4c6d |
|
VISUAL
wHash
|
d8d8d8c003030303 |
|
VISUAL
colorHash
|
07008018001 |
|
VISUAL
cropResistant
|
b2b2b22c4d4c4c6d,4e6747432766c0c8 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.