Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E124123F600DD2A8D9B568CF2C09989412DD345FB3148CAB2A491FF7BC4DF169A939D |
|
CONTENT
ssdeep
|
192:Wmr0wLpud5XHtQxYXxvMcnthWeNWbjfMmUU8VCoC0:9pS5XHufMmUFCoC0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecee9310a6136cec |
|
VISUAL
aHash
|
fff3f1f1f1e11eff |
|
VISUAL
dHash
|
0807676727277800 |
|
VISUAL
wHash
|
f7f1f1b1c10000ff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
0e0c236767272727,3200100000000000,00008080a95c5c2c,000000000830b2b2 |
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.