Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1B34DB03654F56716B343F7609B7602B279862BD40F8C30B360ECEA639DC9A9167F85 |
|
CONTENT
ssdeep
|
1536:b3OqKBrTDdXa6x5Dn04QuJ3796TVq53QSoHxh8N6FmbXhjaPnQsR+Fuopc:aY4QBTjzmN6UbtZ9S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9313ec6c6c929ace |
|
VISUAL
aHash
|
03000c0400ffffff |
|
VISUAL
dHash
|
2fdfd9ddc72f0836 |
|
VISUAL
wHash
|
1f000c0400ffffff |
|
VISUAL
colorHash
|
030020001c0 |
|
VISUAL
cropResistant
|
00432b2b2b02dfff,1eaba3cfcc0cccac,821cf4f4f4783c07,d9d5271f0f0c1426,ffd7d9d9d9d52f1f |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.