Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18251951034016DFF924396D8ABA1AA5677D2C542CA87464093FEB39C1BCAC45CEA7564 |
|
CONTENT
ssdeep
|
48:hIxcCGiG9KC/m1E4Z/5qaQAOv4brW+QvNOv+N3hSX:2xbGiCKBEvDmnAm+N3hSX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3794e33194e4c39 |
|
VISUAL
aHash
|
00ffffefefffffff |
|
VISUAL
dHash
|
0918141c1c0c0c00 |
|
VISUAL
wHash
|
00c3c3c3c8c0c0fc |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0918141c1c0c0c00 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)