Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115920F70E1D699A7714392C8FBF0B954A642F151F3024FB0C3D94775B98AE88B89336E |
|
CONTENT
ssdeep
|
384:2NAiyoAyHCYwf+8LqNB+9rF6H0fniUYhjBZrpOzMTHzztArUzBS2CQoagYm78934:P2du |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa0ad0f7af85e468 |
|
VISUAL
aHash
|
ff04003f81ffffff |
|
VISUAL
dHash
|
4d1db56141000900 |
|
VISUAL
wHash
|
8100003f00ffffff |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
4d1db56141000900 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)