Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A2246A501B65DEF0143D1E43396EE6E72C4C604CFAB924A61EC926D77DBC42ED902B8 |
|
CONTENT
ssdeep
|
192:byyf06c5dTrD8HEQaDdHAIMkD8HZI2X6cIVCDdHSI0mJIu8I4f:byyEdTrD8HEJDdHAXkD8HZI2X6cIVCDC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a6d8d87266d95272 |
|
VISUAL
aHash
|
7c5f676767673f7f |
|
VISUAL
dHash
|
99bc8ccdcfcdf0c6 |
|
VISUAL
wHash
|
6c1f072723071f37 |
|
VISUAL
colorHash
|
07001008088 |
|
VISUAL
cropResistant
|
99bc8ccdcfcdf0c6,4098606424208800,010061c9c9010101 |
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 27 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)