Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DA3D5B47151AD3B409393E0BF65971F72E28268C90A01525BF567E92BFECA1FC4334A |
|
CONTENT
ssdeep
|
1536:pUeaeze5e7eyPwQ5Gz8qPzrhal1zpKdbpZV0VrATHCyGuFI:pF++z0dcklI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bec9c936b4c51e48 |
|
VISUAL
aHash
|
fff9b9878787ffff |
|
VISUAL
dHash
|
393b632c2d2d4c2c |
|
VISUAL
wHash
|
1f89998787878787 |
|
VISUAL
colorHash
|
07400010000 |
|
VISUAL
cropResistant
|
393b632c2d2d4c2c,e6c5d78fcd9cbbcb,9a0f1b58d3db58cc |
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 80 techniques to evade detection by security scanners and make reverse engineering more difficult.