Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D081973BA1042B7A06D3017EFB6BF77DE7B2484CD15B84E692A0C21F52D8EA6C112F50 |
|
CONTENT
ssdeep
|
96:n6KlkzcJZ5Deba84+9XYPUmmCTgip7xUSZWatHIwISSYlpZv:6dzcJZyan+UU+Rp1UQJtoDhYlpZv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b00e0f0cf0f0f3f3 |
|
VISUAL
aHash
|
0000efffffffffff |
|
VISUAL
dHash
|
fbf79f969696969e |
|
VISUAL
wHash
|
000000c7cfdfdfef |
|
VISUAL
colorHash
|
07400030000 |
|
VISUAL
cropResistant
|
fbf79f969696969e,fffff5fefefefeff |
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.