Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7B3AD23421832271537C3D530A95B77E2969D5FFAA70A010EECD7F72BEACA0725B149 |
|
CONTENT
ssdeep
|
1536:2ZRTksPSRIhIEBa4QuoakfWminSF/U6xca4Fhry/IwSkWUNi31qQBoCpxXbS8GO7:GbW4Gw7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3090cccccb3b3b3 |
|
VISUAL
aHash
|
ff00e7ffffffff00 |
|
VISUAL
dHash
|
0c324c0c105a084d |
|
VISUAL
wHash
|
c0002020e7e7e300 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
0000080808080810,4d4c080c0c0c0c4d,0c32b23232b21008,100432b2b2b24c30,0000001010101010 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.