Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4F28532A255AD3B40A792E5F3A5632B22E6D389C9460344C3FC83BD0EE7DD4FD26594 |
|
CONTENT
ssdeep
|
768:Earx2tnvXIDri3CG+nolYtKrWdatX1EHzGJtht:UnvXID+Kk1EER |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c53c3ce5949695 |
|
VISUAL
aHash
|
46607e72600e0028 |
|
VISUAL
dHash
|
c4c8ccc4c2b898d9 |
|
VISUAL
wHash
|
6260fefa720e0e39 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
c4c8ccc4c2b898d9 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)