Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2338662700618A63363D9F7F21C2D06B5A6FAA6C7E735CCF3FA45391AD6C909B12314 |
|
CONTENT
ssdeep
|
1536:0HMFTuL1VQ/McQZVDwVt5EOiOUOORktFhROWoqphquwm0bg:KMA2Mcie2p5jekbg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8624cbdb3c9e3692 |
|
VISUAL
aHash
|
006026003c3c3c3c |
|
VISUAL
dHash
|
30d4d4b4e8e8e8e8 |
|
VISUAL
wHash
|
007e66183c7e7e3c |
|
VISUAL
colorHash
|
39600008001 |
|
VISUAL
cropResistant
|
f8b23a4a4e56c7a7,debc6ad8dcc98a9a,9e4d4d4d69694cca,30d4d4b4e8e8e8e8 |
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 1022 techniques to evade detection by security scanners and make reverse engineering more difficult.