Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7E2F730A250597F6117D6F5F6A1F72CA0EBD24EC923C954F3A8834B6BD6CD18A73250 |
|
CONTENT
ssdeep
|
768:v+5lQZQc74x4ArVNnDQ2yHGmyfalUb1Ne:hI7hqCr8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e7cb19b634d804f8 |
|
VISUAL
aHash
|
ffe7e7e7e7e7ff00 |
|
VISUAL
dHash
|
220b0b4f4d4d1496 |
|
VISUAL
wHash
|
9be1c1e1e7e7c300 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
220b0b4f4d4d1496,d8cadecacaccc8cc,f8c8ccccccc8c8bc,96b7d4d4d4c4c4bb |
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)