Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189539661E0312A3A008FF3E0E25677C592A3DB52CBD207C4E1EDD2995BD7DA09A4379D |
|
CONTENT
ssdeep
|
1536:74+6blHGedGtkvYgcWNG43GG1gPBlWQshGZXTXuHKgujVX/YA98:uHxtDm9XTXuHKgKgz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
986725d23999ce6c |
|
VISUAL
aHash
|
0000181c3c3c1c18 |
|
VISUAL
dHash
|
38027039f0f870b0 |
|
VISUAL
wHash
|
8f00381c7cfe7e1c |
|
VISUAL
colorHash
|
30006000040 |
|
VISUAL
cropResistant
|
90cce2f2fafefe7f,903060fafcdcfefe,a200ab3b352500a0,38027039f0f870b0 |
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 210 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)