Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11F635231E0845D3B129756CAE7F0A64FF281925BEE0716429BF6C70D4EFBC40DE5A628 |
|
CONTENT
ssdeep
|
768:cJg+piftPWwwPie/my6NP2s2ucLTuYY3oLc06DFnCktpIDeipEnc:uKPaNTuYkFnCkRc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e913b4cb5a1369b4 |
|
VISUAL
aHash
|
00010909f9f9ffdf |
|
VISUAL
dHash
|
4b33333b4b132336 |
|
VISUAL
wHash
|
00010909f9f9ffdf |
|
VISUAL
colorHash
|
0e200030000 |
|
VISUAL
cropResistant
|
4b32333bcb132336,006886c8c88e2100,31784c2125292121 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.