Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1D1B7B1E0841E33A207D484B2E2AA0F7186CA47CA8B4713C7F187DF5AF7E89DC86155 |
|
CONTENT
ssdeep
|
96:XCTuOb9H09TBn9YLfqtt6N42QCpLf/ncz56ND8K3356NMCkE9/TVoku:Sb9U9TuQC5fvczO8WhC/TVoku |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999966339999cc33 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
304cb2b2b2b20c30 |
|
VISUAL
wHash
|
0f0f1f1f1c1c1c1c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
304cb2b2b2b20c30 |
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 53 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)