Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5E2B7DB210816D5C1F38FD8D81069547246EA9FC9718270C2F88E3A6BD25A5B78CF7E |
|
CONTENT
ssdeep
|
384:hZPD/SJSRSuRHQCRSmCIIEAyrCvHawDxbO0vsFiYK/M74UZh3gl4oys+hgvch:NVIfxxhscY7UUjJoJte |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f22d5aa7d889f209 |
|
VISUAL
aHash
|
000000ffffe7fcfc |
|
VISUAL
dHash
|
050e00082a0d1139 |
|
VISUAL
wHash
|
000000ffffe7fccc |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
050e00082a0d1139 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.