Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154235B726322B87853DB91EEE7382D16B2D2589DF8C74414F1C95ACD23C3C916297BB4 |
|
CONTENT
ssdeep
|
768:amBG+EsZx8/G8H4bTDawg5MIB1uwgZMIB1mwZUcix+y9dQpUDF1E56ITmHDLBAB/:amBG+EsZ/8YbTDawg5MIB1uwgZMIB1mM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e91913bc4c433 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
7171713171080000 |
|
VISUAL
wHash
|
8181810081ffffff |
|
VISUAL
colorHash
|
1e006000000 |
|
VISUAL
cropResistant
|
7171713171080000,f0b0b2b0b0b2b2cc |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.