Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15D528333A200DD198DAB91C8F2C4A5CC5159D349FB3148CAB2A491FF7BC5DF169A836D |
|
CONTENT
ssdeep
|
192:oup8h3Jkd/XsksqsEs5QOq83QxTKEkLMcnthWeNWbuXUK6V1GfMmUU8VCooKFyfR:D/839X5QOnWKEkbXULV1GfMmUFCom |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbeab4e49534e868 |
|
VISUAL
aHash
|
f1f1f9b9f9f900ff |
|
VISUAL
dHash
|
6763636343031710 |
|
VISUAL
wHash
|
f1f0f0b0f0f000ff |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0363636363434307,1000000000000000,4d4505ccc4174955,0a9e6a724896ea00,0000103430123232 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)