Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAD35D142705667F24B382D9B09EB212F23E521BEA0F4DA47354EAB573EEC57A433784 |
|
CONTENT
ssdeep
|
1536:NTClrJ6Wrequ2Oxe/YJeE+/29Pequ2Oxe/YJeE+/29Ug/mgjsCAQPDc2TCD8/0G/:CH+wA9b+dwzeiaJfQQN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d92926d6d089a |
|
VISUAL
aHash
|
fdff91d1b3ffffff |
|
VISUAL
dHash
|
6938333377300a25 |
|
VISUAL
wHash
|
00009191b1ffffb7 |
|
VISUAL
colorHash
|
07006000080 |
|
VISUAL
cropResistant
|
6938333377300a25,0105412531030f7f |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.