Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B536573B1CE9E3225A192C5A2B03E49E391A516FB62FCC062F1015CA7F1F65B502DED |
|
CONTENT
ssdeep
|
768:Q/srZePLVizNBj0NqaCfEwr17kCk3pvySX+mnwDNVrwwnlnf8rGf425n5vrfYcfz:Q/sFa4zJkA/NfYcfvr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87398d8739878739 |
|
VISUAL
aHash
|
1b000000007e7e3c |
|
VISUAL
dHash
|
b220024003e4e071 |
|
VISUAL
wHash
|
1f45a814007e7e7f |
|
VISUAL
colorHash
|
38400010001 |
|
VISUAL
cropResistant
|
b220024003e4e071 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)