Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A0232E1D011ED3B471386D9A7F5AB0B7791C345CF02094493F883ABABCACA0DB2559D |
|
CONTENT
ssdeep
|
192:Q9bjZzeSe8ibrvyYM/auWoH7Xny3kAHSezeZi:Q9b5Ne1brvLM/JWSTWkAHSfZi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e763986c9890679b |
|
VISUAL
aHash
|
ffe1e1e1e1e1ffff |
|
VISUAL
dHash
|
004b4b4b4b4f0700 |
|
VISUAL
wHash
|
ffa1818181e1e0fe |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
004b4b4b4b4f0700,edb3f170fbfdffff |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.