Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199213F2080104D2B67139CD46791AF193987CF0DEA2209407AF892FD6AEEEA1C81D595 |
|
CONTENT
ssdeep
|
24:hVkDCWA6GZF8TFJLP1jtETNRk2NuejG0/cMnk16GHpJNFOFK:b2H4F8rT1Zow2bI16GXTOk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f7c8c827c98c6633 |
|
VISUAL
aHash
|
ffe1e1c3c38787ef |
|
VISUAL
dHash
|
01030f130f0f160c |
|
VISUAL
wHash
|
ffe1c1c1818383cf |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
01030f130f0f160c |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)