Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9E142914404641B111A41CA6693AB4A34C3E381CF7618506ADD83BF6AEFAF4ACBF3D6 |
|
CONTENT
ssdeep
|
96:T84a5s0gnfsJsgYi8Fj3IX/4pqu8FduzFV38yC378F2z3NgwoLQZx0a8bd:62o7Y3N4QwbTUCJ3oQz3Nw2e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0303c47cfcb3359 |
|
VISUAL
aHash
|
00c3c3ffffe7ffff |
|
VISUAL
dHash
|
1e1e9e1e0c4d0004 |
|
VISUAL
wHash
|
00c3c0c0c0e4fcfc |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
1e1e9e1e0c4d0004,5b1999ea898f4268,0000804040404040,2fd7e6f6d4f7f686 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)