Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17583447063115FFB61D7C2F6BA725BAB62D9C39ECA0BC254A3E9D3051FC2C858D51290 |
|
CONTENT
ssdeep
|
768:+hI+LCOMTgojSZPBYE3UgHpPEgFYQ2710WhbA9RbBn6bSS0PMgPxP1PFDPYPaPOA:9p710WhbAfbB6bSGsGeDh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa55aa55aa55aa55 |
|
VISUAL
aHash
|
0000001010000001 |
|
VISUAL
dHash
|
0000001010000003 |
|
VISUAL
wHash
|
0c0c0c1c33330303 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
0000001010000003 |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)