Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19FA36933411875274437C6D130A55B3BE2A7995FFAE70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:vRacINfKkyLz4NP/y9svbliCdwYRZRKrmLjtOhRYBmEK5KEFtiuCa28y2O9:jmAAl3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9647f412cd39b869 |
|
VISUAL
aHash
|
00200000000404ff |
|
VISUAL
dHash
|
cccc48c8cccc2dd4 |
|
VISUAL
wHash
|
06fc30383c0e0fff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c2c3c3cdcdc7c3c2,09009081303080a0,dccc48c0c8cc4c0d |
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)