Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119C2A571A100273F11D3C3C9B362BB2EF2E39289DA87181552FD434D5BE7E90DA1B566 |
|
CONTENT
ssdeep
|
768:rDy5Ncpby4foaqMkrl56I7sOy2+y9BH4crIe:bby4f5olv7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9323f53ad428d2cd |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c48c2d0f9f9b500 |
|
VISUAL
wHash
|
002f38081c0fffff |
|
VISUAL
colorHash
|
11010000c00 |
|
VISUAL
cropResistant
|
2080802058d08000,1c5d49d0d0f9f939 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)