Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEF2612D7A08B12F4EA784F878F07FEEDB6319C5DB942B80E429DA5670C292DE51117C |
|
CONTENT
ssdeep
|
384:yc3G+wTQmJiIr+aB27ZHOpNjr+3P3v+Kx7Tgtw92B4EKHWgZzUWAPT88nfPPfpa3:4P3cPqc//zUuWB2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9dd2732cc897268d |
|
VISUAL
aHash
|
0000183c18000000 |
|
VISUAL
dHash
|
60ccb3b232336e93 |
|
VISUAL
wHash
|
3240787d3f010bff |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
92aeacc2e8e480a8,60ccb3b232336e93 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)