Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B223F33A600CD2A4D9B55CCF6C09989412DD345FB3148CAB1A491FF7BC0DF0A9AA79E |
|
CONTENT
ssdeep
|
192:K5h3JMSudfYPnzxbMcnthWeNWbmcAfMmUU8VCo2m:G8fQDcAfMmUFCo2m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e464c6cc98999b3b |
|
VISUAL
aHash
|
f3e3e3dbc3ffffff |
|
VISUAL
dHash
|
06060e3616000200 |
|
VISUAL
wHash
|
03038181010f0f0e |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
06060e3616000200,d2e22449963a1c5a,000834b2b2320c10 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.