Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF235B726722B4A843DB91EEF73C2C56B2D25889F8CB4554F5C95A8E13C3C806297BF4 |
|
CONTENT
ssdeep
|
768:az+EsZx8/G8r4fDawJMSBzowSMSBzRqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAf:az+EsZ/8EfDawJMSBMwSMSBIN2/y9dGn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf9de0c0f095c1d1 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
7179797555616155 |
|
VISUAL
wHash
|
ff819f9981bd8181 |
|
VISUAL
colorHash
|
39007000000 |
|
VISUAL
cropResistant
|
7179797555616155,32f9f9f3c8c0c40b |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.