Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD234A726332B4B883DBA1EDF7382E56B2C29889F9C74554F5C85A8D13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:ab+EsZx8/G8Y3RF41DawLlM5BKwoKM5BpqN2/y9dGDUDF1E56ITmH+LXPnTyPqDZ:ab+EsZ/8YBO1DawJM5BKwLM5BkN2/y96 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bed835a1c19ccb94 |
|
VISUAL
aHash
|
8181bdbdbd998181 |
|
VISUAL
dHash
|
2b71717169697555 |
|
VISUAL
wHash
|
8181bdbdbdbd8181 |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
2b71717169697555,a6c2eaca9c715588,e1cca68692c0e4d0,337068696969b696,00102c32b2320810 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.