Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C234A726322B8B843DB91DEF7382D56B2D68899F8C74454F5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aj+EsZx8/G8R4iDawnJMIBF1wnoMIBFLwZUcix+y9dQpUDF1E56ITmHDLBABW8K6:aj+EsZ/8CiDawnJMIBF1wnoMIBFLwZUq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb6b94943a949167 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
5941494955002000 |
|
VISUAL
wHash
|
8180808181ffffff |
|
VISUAL
colorHash
|
1e000e40000 |
|
VISUAL
cropResistant
|
5941494955002000,9898c0c8cc9cec92 |
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.