Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1137E70675E9AFF419FC2E04A7B6B5A6298F309E57302664AFD938D4F87C83DC01A50 |
|
CONTENT
ssdeep
|
192:5X5tW3scUVU4UbUVUxU2U2UJUtUsUKUjU7UMUVU4UbUVUxU2U2UJUtUsUKUjU7Ui:5JtW3V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd8c046b7b36b631 |
|
VISUAL
aHash
|
107b7fbff9f90000 |
|
VISUAL
dHash
|
e3e6e6338b8954b2 |
|
VISUAL
wHash
|
107b7fbbf9f90000 |
|
VISUAL
colorHash
|
13c00008001 |
|
VISUAL
cropResistant
|
d0f27a6872727860,276d7b5b5b036673,0001010446d020b8,6ff589a1c3d7efad,fcfebe3d18d81a5a,e3e6e6338b8954b2 |
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)