Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175A38A33411875274437C6D530A55B3BE2E6D94FFAA70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:HuMLz4NP/y9svbliCdnbbg6FtiuCa28y2O9:OSmAEop |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243f412ed38b969 |
|
VISUAL
aHash
|
00240000000404ff |
|
VISUAL
dHash
|
ccccc8c0cccc0db2 |
|
VISUAL
wHash
|
04fe68303c0e0fff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c2c3e3cdcdcde3c3,09009081303080a0,dcccc8c0c8cccc0d |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)