Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C173E3E142B904FB217BA3D7EF299712B193C449CA0536C5C5FAC29D36DDE40AEA3742 |
|
CONTENT
ssdeep
|
1536:yLZibgemlUcuXwzt3TZIU+fiClJ44Bk1JAeYgFxm2UbDIWw4FJ:yLZibgemlUcugzt3TZIU+fiClJ44Bk1i |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef2f91c34630706e |
|
VISUAL
aHash
|
00ff8181a1ff7f7e |
|
VISUAL
dHash
|
c86323236343dccc |
|
VISUAL
wHash
|
00bb818181ff7e7e |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
7b23232363c7cccc,a080a0e050e080a0,0048b38c8cb34800,13c833f0c0f03168,4e8ca8cccc7cfcfc,1c4643053378dcde,1a15181801070000,0002929696000000,b676d9e44a696556,2530630151734b8b |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)