Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163E2EF207C4B892701B3DBD562305A1A76D2F71BCA920AD1B2F4D26C4F97DFAF816C42 |
|
CONTENT
ssdeep
|
384:Q/HCqe9oGrbyQn0ycp1m4CChruVcxgZx0hFOM9/:Q/HoKeBq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd29aa45979a64b2 |
|
VISUAL
aHash
|
fff8d89ae2f0ffff |
|
VISUAL
dHash
|
2393322aca22313c |
|
VISUAL
wHash
|
c3d08090e0f0ffdf |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2393322aca22313c,d0783869f193c3e5,c9381c3079696373 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.