Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A2356617D03A906204F00DFA607364F90D19AC9E27776E4F8F4C3382679EA1B7D5A9A |
|
CONTENT
ssdeep
|
384:Klbii8/4vt4WkaT3387kT1irGCeZCLp+JKYGhqQMLNXrpU:1/Mt4G3KK30Y8jMLNa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b09a6471cfcc33cc |
|
VISUAL
aHash
|
ffc7cfffc7c3c3c3 |
|
VISUAL
dHash
|
169e9e229e9e9696 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
06200000180 |
|
VISUAL
cropResistant
|
169e9e229e9e9696,ecded8dc282d88e8,fcf2f256e4e4c051 |
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 1562 techniques to evade detection by security scanners and make reverse engineering more difficult.