Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8426333A600DD298D9B61CCF1C09988515ED345FB3148CAB1A091BF7BC8DF069AA7AD |
|
CONTENT
ssdeep
|
384:X6dCcycGchVsT+yy43sbjQNmfMmUFCo10IHZ55l:X6dCcycGchjfBUsEPHZ55l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccc078af073 |
|
VISUAL
aHash
|
ff27e70727ffffff |
|
VISUAL
dHash
|
004c8c4c4c140000 |
|
VISUAL
wHash
|
ec040404075ffffe |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
004c8c4c4c140000,681c6a714cb6e901 |
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)