Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2734F719003A93B865391D8E7612B5B91D9830FCE530D46B7F94B9AEFD2D20FD2EA10 |
|
CONTENT
ssdeep
|
768:6j9B44MHPUQkf4R4O4Y4d4A4M4s9ZsFu+ZkKDA20DZHweDnndYXstv0soV8lOpPK:6j9B44MHPhkf4R4O4Y4d4A4M4sJiaCoF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc13b32d9433ba |
|
VISUAL
aHash
|
f9f0d0f0f3ffff00 |
|
VISUAL
dHash
|
232333372700e355 |
|
VISUAL
wHash
|
f0f080d0b1ffff00 |
|
VISUAL
colorHash
|
06003008040 |
|
VISUAL
cropResistant
|
23033336272400f4,cd6c262e6e3e4e66,eca65a1892f67d7e,0d0f134b2b694f7f,f0fa9555555555aa |
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.