Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7D393D55618038CA15789BCFF2FFE05131FB1AABA5586802A4EC26C96CF8D1FB1752C |
|
CONTENT
ssdeep
|
3072:62H0RQ7HEWWVmxX3kgc1ztsmaZ2LMm4Wk:9WVmxX3kgc1ztsma7d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd6dc29695c19296 |
|
VISUAL
aHash
|
ff81818183ffffff |
|
VISUAL
dHash
|
332b2b0b3f610d1c |
|
VISUAL
wHash
|
83818181819fefff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
332b2b0b3f610d1c,239e9929991955f8 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.