Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C7343715002A93F4263E1D5EA252B9AA1CD830FCE620966F7F5434ADFD3DA0FD3A650 |
|
CONTENT
ssdeep
|
1536:a9wB447TUQvPFm4i4E4B4u4e4l4uwiaCoo:/vP2wq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cdc99ba464b033e9 |
|
VISUAL
aHash
|
bdb8d89090ffff00 |
|
VISUAL
dHash
|
737133372727aa54 |
|
VISUAL
wHash
|
fc38989090ffff00 |
|
VISUAL
colorHash
|
06003010000 |
|
VISUAL
cropResistant
|
e2e0a2a2eab2c0c0,737133372727aa54 |
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 136 techniques to evade detection by security scanners and make reverse engineering more difficult.