Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C8235B726722B8B883CB91EEF7382D46B2D5589DE8C74450F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ahG6s+EsZx8/G8oRF4cDatXMiBft+MiBZwZUcix+y9dQpUDF1E56ITmHDLBABW8J:ahG6s+EsZ/8iOcDatXMiBft+MiBZwZUA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfbcc1c1b4c194c6 |
|
VISUAL
aHash
|
818181818181bd81 |
|
VISUAL
dHash
|
557171717555414d |
|
VISUAL
wHash
|
ff819989818dbf81 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
557171717555414d,b3f1f1b377f0c0ec |
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.