Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1367164B5A88AA93B565783C2B7B1A35733C08288E60753265EF9C74D8FEBC45DE1D304 |
|
CONTENT
ssdeep
|
48:knEVNsVuim4Nw48y58mDJXQWbg8ca176K7VEK+pMoO+97bSDS5QjYL6z:5sWyGGJXvd91BVEdMoOS+YLW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9c9263699c99936 |
|
VISUAL
aHash
|
0000183c3c180000 |
|
VISUAL
dHash
|
304cb2b2b2b24c30 |
|
VISUAL
wHash
|
0c0c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
b217610c8e0f0cb2,304cb2b2b2b24c30 |
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)