Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E621D71A024AE338587C2D9ABB5A71F72C3C355CF174B0163F8839E4BDAC96DD0469A |
|
CONTENT
ssdeep
|
192:mb9CEAqITKHz9/eEWolqf0Yd61nZlmptqlfarN:u9CEAVKp/TlC0x52Pqlfap |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0b032cd4fcf4cf0 |
|
VISUAL
aHash
|
ffc7efffffffcf00 |
|
VISUAL
dHash
|
709c9ec2b6b29ee5 |
|
VISUAL
wHash
|
00c7c3fbdbfbc200 |
|
VISUAL
colorHash
|
06000038002 |
|
VISUAL
cropResistant
|
609c9ec296a29e8e,77a75f07a5477767,0000003030300000,000090d901eded0d |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)