Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173B153E1C414CD3743538AD9ABF5AB0BB292C345CB430D8453F883EB5BDAC60DE656A8 |
|
CONTENT
ssdeep
|
96:TkSYSzeFvMS0uSTCctu1SSgtmM/xVFwGXpHFEuXBX/AjGJ:QSYSzeFdKWckEYM/x/RXAA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8eb1658a9aa89ae7 |
|
VISUAL
aHash
|
ff003c3c3c3c0000 |
|
VISUAL
dHash
|
f0c669f16969666c |
|
VISUAL
wHash
|
ff203c7f3f3c2020 |
|
VISUAL
colorHash
|
12006000040 |
|
VISUAL
cropResistant
|
0000000000000000,9262f2b2d2d4d7d6,e04c69f16969666c |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.