Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8A38C33411875274437C6D130A95B3BE2E6D95FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:dRLz4NP/y9svbliCdNm9sLw7FtiuCa28y2O9:PmA+mOwQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f512dd39b829 |
|
VISUAL
aHash
|
00200000000404ff |
|
VISUAL
dHash
|
ccccc8c8cccc0d98 |
|
VISUAL
wHash
|
0cfc60381c0f0fff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c2c3c38e8ecbc3c2,09009081303080a0,9cccc8d8c8cccc0d |
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.