Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB42FDBA50559D2332C290ECF339369B71D6DB49DA2206D547F8578D5EC1CACECAB320 |
|
CONTENT
ssdeep
|
384:xFYgAUBnyRxhsQHP/Yk020sYL83s6rY+nPp8uJBYr5GEumvuQTBWnJH0SljRvyaM:IgAUBnyRxhsQHP/Yk020sYL83s6rY+nO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93693c93c6c93c39 |
|
VISUAL
aHash
|
1800007e7e7e3e3c |
|
VISUAL
dHash
|
d4c433c4d8dcdce4 |
|
VISUAL
wHash
|
0000187e7e7e7e7e |
|
VISUAL
colorHash
|
02006000000 |
|
VISUAL
cropResistant
|
d4c433c4d8dcdce4,0000820000000082,0000450000000045 |
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 53 techniques to evade detection by security scanners and make reverse engineering more difficult.