Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2B347F29090943F4377D6C56AB0FB5D72D3928ECD424C51B2FD93A83BC6DA2A91314A |
|
CONTENT
ssdeep
|
1536:vzsWm3qyM3USSSSVMTl5YheZ0novyniKxzsJBezCHb:vz3m3qi8ezC7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c71f3830cdc33e26 |
|
VISUAL
aHash
|
0000747972616581 |
|
VISUAL
dHash
|
d91ae4c3e6c7ca2b |
|
VISUAL
wHash
|
0000f7f9f3f1e781 |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
70c5c4b2b2333686,b836266676e6e372,d91ae4c3e6c7ca2b |
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 100 techniques to evade detection by security scanners and make reverse engineering more difficult.