Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC6287739009EB732E12EAC58676734DD9C3425AC8A6C645C3FE82596FC1EF9CE83485 |
|
CONTENT
ssdeep
|
192:jjhCTyNZhjc0bn8kPL4TYXWRA5legG8XA0UcrOO3:BCTyN5fG8Q0UcrOO3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aced43929238e1ed |
|
VISUAL
aHash
|
fffffbffff000000 |
|
VISUAL
dHash
|
0c2213372452f0d4 |
|
VISUAL
wHash
|
ffffc3d7d7000000 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
0c3823121f372643,0c32b20028b69609,8292809696969680,00143070c4d4d4d4 |
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 3148 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)