Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124F2A49A224856D5C1F38FD884102A907182EA9FC9718370C2BC4E7B6BD35A5778DF7E |
|
CONTENT
ssdeep
|
384:kRzvEGyP9b84vRT+IsMvIHDwaeVaeObO0vsFiYK/M74UZh3gl4oyTqTX1vdDJPDA:SI+7MvGevOhscY7UUjJouwVdD1DA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2a55aad277289d8 |
|
VISUAL
aHash
|
c3ffffe7fffcfcfc |
|
VISUAL
dHash
|
0e08140c0c390900 |
|
VISUAL
wHash
|
00e7c3c7c38ce4fc |
|
VISUAL
colorHash
|
07000008180 |
|
VISUAL
cropResistant
|
0e08140c0c390900 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.