Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA817BF50240144EEB82F8C4A4137F395B4BC729E72AC86D716C5A6A67C4FB0CED1AA5 |
|
CONTENT
ssdeep
|
48:wjHceGTy5hk4oMVKUhpdZdvQiO8NpHyqq7IpeulZGYodBr+QVnp8Xg00ZHqk3Bt+:lWceYoSwjUdBrDJp8Sx3BtV0bRQSMmxx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a7724c0d590d3f72 |
|
VISUAL
aHash
|
00ffffffffff3fff |
|
VISUAL
dHash
|
80080c0c08ec6000 |
|
VISUAL
wHash
|
00e7e7ffff170000 |
|
VISUAL
colorHash
|
07202000080 |
|
VISUAL
cropResistant
|
8c0c0c0c08e86000,0000014141018000 |
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 313 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)