Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110130D725209DBBF11C3C2E8DB31966A338E9215FA5B92D147ED87B85EA7E90DC1340C |
|
CONTENT
ssdeep
|
768:jokmmRmymPgHKgqUjGyHGdFyPgHIJRgxgCEtf7nibbsPg9bpPglbPPgLbxPgRGbA:mm8ymPgHKDUSXyPgHITgqCEV7nygPg9e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b09b9b6421c7cc8f |
|
VISUAL
aHash
|
ffefffc3c3c3efff |
|
VISUAL
dHash
|
8c1c8e9696961e1c |
|
VISUAL
wHash
|
47c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
8c1c8e9696961e1c,7c4e99ad595a4a34,3f7bc2dabca484f1,c4f8e8d8d4d0e0d8 |
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 272 techniques to evade detection by security scanners and make reverse engineering more difficult.