Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F82EB33A044C62E1E8BA1EDFB99B299A49D9145F731C48299F4813FEA41DEC783539C |
|
CONTENT
ssdeep
|
384:nhUqc4mugW1Fvn3JT2gPUeRNdNeMWSyurdbfMmUFCoa:nUVugW1FvnVjPUeFNeMWSyurNfBUsd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1614eea4a191fbc |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
888a9a9a2f3a3b20 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
1ec00210000 |
|
VISUAL
cropResistant
|
ec8e99ada0b13133,9c78e1c3c6c6c3f0,8a263b03183b3030,c2888a8a9aca9a9a |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.