Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18381723204C0600F014183E2EB91BA5DE3F6E09587B91D80D6FEAB8A5EC0FE5E97314D |
|
CONTENT
ssdeep
|
96:TB+aJMkVMB+OoF7wyYHS+HzH05o2UttonZpFCpFeRWBoxEUR0DpFuDpFFS6d4j:TDRuZolYHS+HzH05oNvonZpFCpFRBo5q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc313333e66666 |
|
VISUAL
aHash
|
1818181818181800 |
|
VISUAL
dHash
|
b2b2b2b2b2b23232 |
|
VISUAL
wHash
|
fffffa1818181818 |
|
VISUAL
colorHash
|
30002000180 |
|
VISUAL
cropResistant
|
b2b2b2b2b2b23232 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.