Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5C1B4A1E0497B7FBC07C3ECA7B0A659514B638ED2910984D2E901743BCFE98F50E6D5 |
|
CONTENT
ssdeep
|
96:FuJzthkl/IxMzViis6S8LU5Nu/IsdFYTYcBZbE4HTPds:4thkAMzVZs6SJzuAs3kBNVzPds |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9b427533c49c3b6 |
|
VISUAL
aHash
|
ffffffffdc280000 |
|
VISUAL
dHash
|
f2b6f23329d15166 |
|
VISUAL
wHash
|
7fffffdb90080000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
f2f7d2f3332dd951,0f16261b7b71f072,adf9d05451e16664 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)