Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E031D20B800EC2A41DF59C86673162662F98345D61306DAFEB6C3F95BAFC7CDA33554 |
|
CONTENT
ssdeep
|
768:I5MAs2R/j/Y92V1vn3Ehg2Vlh5+JCD3usFS23WgnZUf7d:I5vs2RzY92V1vn3Ehg2Vlh5+cD+skCWp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
824db32c92736db3 |
|
VISUAL
aHash
|
6000200017130fff |
|
VISUAL
dHash
|
90c3cae5f6b6bccd |
|
VISUAL
wHash
|
f92020301f135fff |
|
VISUAL
colorHash
|
0b000000180 |
|
VISUAL
cropResistant
|
8f7ce08020a4a0f8,ad8d8585c5c9c383,90c3cae5f6b6bccd |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.