Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114A36933411875274437C6D130A55B3BE2A6DA5FFAE70A010EECD7EA1BFACA0B45711A |
|
CONTENT
ssdeep
|
1536:XWLz4NP/y9svbliCd3bsxj4FtiuCa28y2O9:YmAsbsdr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f512ed38b06d |
|
VISUAL
aHash
|
00240000000406ff |
|
VISUAL
dHash
|
dcc848c0cccc2db2 |
|
VISUAL
wHash
|
0cfe30381c0e0fff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c2c3e3cdcdcdf3c3,09009081303080a0,dccc48c0c8cc0c0d |
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.