Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6329333A200DC2E4E9B528CF5C48689525ED345FB324CC6B160A1BF7BC5DF069A93AD |
|
CONTENT
ssdeep
|
192:WdEYYcycC0sn5xLioLcMcnthWeNWbx7MIgT7PYmfMmUU8VCo0h:1cycC0cioLl7MIgT7PYmfMmUFCo6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f7625c487632f298 |
|
VISUAL
aHash
|
0000ffe7ffffffff |
|
VISUAL
dHash
|
02ce084d0c000000 |
|
VISUAL
wHash
|
00002424e4fcf1f0 |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
0c0c0c0c00000000,2020202010caca11 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.