Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B225F33A200DD2A4D9B968CF6C0A58C525EC349FB3148C6B1A091FF7BC1EF1699939D |
|
CONTENT
ssdeep
|
192:qW3FUSQi5rZd2EdP0b6SxaMcnthWeNWbnfMmUU8VCoDA4:qQ2Ed8DfMmUFCof |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc67c73818c7349c |
|
VISUAL
aHash
|
e3a383838f8fffff |
|
VISUAL
dHash
|
4e4f6e3330340010 |
|
VISUAL
wHash
|
212181818f8fcfce |
|
VISUAL
colorHash
|
07202008080 |
|
VISUAL
cropResistant
|
4e4f6e3330340010 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.