Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F60386705228DD3D55C3C2D8C735737B325A8287DA4B132D9BE983389A8ADD5ED37094 |
|
CONTENT
ssdeep
|
768:Z9khsoyk7LNUAfV4kYuZfGlV/Qtp10P1pv:Z9m5cAdrCVSItl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
994c8cb3e6229be6 |
|
VISUAL
aHash
|
00181800ffffffff |
|
VISUAL
dHash
|
32b2b2324d4a4c4c |
|
VISUAL
wHash
|
00180800e7efffff |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
0000140c04140000,cc8c9e8edcd64d4d,4d4c484a584c4c4c,24b2b2b2b2b2b210 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)