Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A1298A911A28EAF014384E471AAEF5F71D5C208CFA7D24D71AC51A9B7DBC53ACD026C |
|
CONTENT
ssdeep
|
192:CkDfM6x5dL0D8HmVdkDdHkQ7VzD8H5jkebij87DdHQj7vHj1Njzy:XDjdL0D8HwaDdHJBD8H5jkebij87DdH/ |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Português | Inglês | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)