Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A5165B3D5009C2A1652CDE4DDD9F20DDF628995C64F26C0D2D88B6E39C5FB5C41329D |
|
CONTENT
ssdeep
|
48:nHR4v7lMPIjj1P5RjjxBhdQTitC4Q0/OsVDT3cmX2YX:HRIbhBti0/O4v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f777555d5d4c0022 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
104d080000000000 |
|
VISUAL
wHash
|
000000fff0f0f0f0 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
1009080000000000,0000000000000000 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)