Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1057322B1C566323B02278ED4B4712B4FB6D3835EDE97491057FC87CE5BDAC90EA0498A |
|
CONTENT
ssdeep
|
768:fH7lAiX7U3/CBLvb8qBN+CCSxkAG2KhN5Ri9qRbxHxNIOAHtDUBpqKcKGBmaGntf:BAc9ObtxNIOAHJUBpNxG0aGntCoyxiDh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb638c9ec6963491 |
|
VISUAL
aHash
|
f78181c1ff8f8fff |
|
VISUAL
dHash
|
650b1b0b2b3b3813 |
|
VISUAL
wHash
|
f7818181e78f8f83 |
|
VISUAL
colorHash
|
07e01000000 |
|
VISUAL
cropResistant
|
650b1b0b2b3b3813 |
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 23 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)