Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12491566041D66E2DC85550D0E2B12E9E33E4409ED3660A88E63DA73FBACFC91B6365F4 |
|
CONTENT
ssdeep
|
96:nEdH4Jjp3U1ELT+GhxI4d9SYJQ7w3O6GSQIVYjk:i+75fdJESXYY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88c82662afae6e3e |
|
VISUAL
aHash
|
d13c3c3c1c000000 |
|
VISUAL
dHash
|
37f031f1b381eb76 |
|
VISUAL
wHash
|
f33cff3f3f010100 |
|
VISUAL
colorHash
|
07200030040 |
|
VISUAL
cropResistant
|
2b2b012b06171633,ea66bef9e9be3aba,2121212121210001,713031f0b3817e76 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)