Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DA38A33411875274437C6D530A95B3BE2A6DA4FFAE70A010EECD7EA1BFAC90745B11A |
|
CONTENT
ssdeep
|
1536:5nLz4NP/y9svbliCdo0X+aVFtiuCa28y2O9:1mAx2+a2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f612e938b969 |
|
VISUAL
aHash
|
00240000000406ff |
|
VISUAL
dHash
|
cccc40c8c0cc0dd2 |
|
VISUAL
wHash
|
0cfe3830340e0fff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3c3e38f8ecfe3c3,09009081303080a0,dccc48d8c8dcec0c |
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.