Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D426130A194ED3F90C382D496356B5F72A6D24ACB4B130196FD936C8EC6DE7EC27149 |
|
CONTENT
ssdeep
|
192:CYEUK8f4mgChjN6aD2I5wLURsauYIueHez:DEUK8gmgmjAaD2I5wLURsXue+z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9991e691ccb3e2cc |
|
VISUAL
aHash
|
ff00001818000000 |
|
VISUAL
dHash
|
98714cb2b25c7064 |
|
VISUAL
wHash
|
ff1c243c3c2c3c3c |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
08128e8e00090404,30604cb2b24c7064,0e0e707260701010,2333636262727a1b |
Victim enters credit/debit card details including CVV and expiration. Card data is captured and can be used for fraudulent transactions or sold on dark web markets.
Malicious code is obfuscated using 3 techniques to evade detection by security scanners and make reverse engineering more difficult.