Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE631BDD3894601A476340E390BB2B8AF7391C2FB91C55E1B4B4CBE572B84F5216AF4B |
|
CONTENT
ssdeep
|
768:WyWuPWyuSL5/S/uo/9Z8n+z1TH+DbCgLz56SLIjwqqBCv1GKU+dsNWHS4FUX8Uvx:rsfyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b332718bcccccc9a |
|
VISUAL
aHash
|
e7c7c7e7c7e7c7e7 |
|
VISUAL
dHash
|
0c0e0c0c0c1c0c1c |
|
VISUAL
wHash
|
c7c3c3c3c3c3c3c2 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
0c0e0c0c0c1c0c1c |
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 699 techniques to evade detection by security scanners and make reverse engineering more difficult.