Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AB36CF47A84FE2315F350A271969687F77D0C1BF6094850B9A8CACAB3D986741B73E0 |
|
CONTENT
ssdeep
|
1536:am96GC3kKgIJ4WwLVnKk5R4ioNdo3DnkD4aprw45R/zQ2N0msQw:am96GC3kKgpKN67orwGR1Vw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c393e53c2434e597 |
|
VISUAL
aHash
|
66ffff0000000060 |
|
VISUAL
dHash
|
cc6949ccc0c0d1c2 |
|
VISUAL
wHash
|
66ffff203c003872 |
|
VISUAL
colorHash
|
300000081c0 |
|
VISUAL
cropResistant
|
ec9199c9906cf178,cc6949ccc0c0d1c2 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.