Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19AE2A3A148A11879409AB6B0F64CBB1BC3E34B5ECB5486E462B4C1DB9DFD1C0EBF2745 |
|
CONTENT
ssdeep
|
768:kavCVr9UrRDEHHq3OkBBoa1RIBfSJTQp6dBUU2aBDJV3G:kavCVr9OyHeBBoa1RIZSJTQp6dBU/aB+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cccc338ccc33cc |
|
VISUAL
aHash
|
ffffffefcfc7ffff |
|
VISUAL
dHash
|
000028081a0c2408 |
|
VISUAL
wHash
|
00003c043f033f3f |
|
VISUAL
colorHash
|
07000e00000 |
|
VISUAL
cropResistant
|
000028081a0c2408 |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)