Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF93EC72A27F1822515FB2D4A2B48B192283DB89C3434BF6A26D52F67FCD8757D1318C |
|
CONTENT
ssdeep
|
1536:LO7SYNHDdDApFDTiDJye6umeeeffkDI7tRW2qCfDxDv60D7oNDvJ5CIeQiqXl0Ag:wp5ApRTMnf+I7D1z7SwQFlDN0TJdTYCJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936ccd3893d3c4cc |
|
VISUAL
aHash
|
00007e6e46466e6e |
|
VISUAL
dHash
|
da2ae4c88888d8d8 |
|
VISUAL
wHash
|
38207e6e46467e6e |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
da2ae4c88888d8d8,4459b47811171b23,97c46931f1e1a0ac,4b433198d8d08c4d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)