Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T191235A726322B86883DB91EEF7382D46B2D5588DF8C74450F5C99A8E23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aD+EsZx8/G86RF4IDat5MmBKotkMmBK2Ucix+y9dQpUDF1E56ITmHDLBABW8KPqh:aD+EsZ/8MOIDat5MmB3tkMmBlUXx+y9W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea9c91c4b491e6c7 |
|
VISUAL
aHash
|
b98181818181a181 |
|
VISUAL
dHash
|
6171697151454145 |
|
VISUAL
wHash
|
ff9999998181bd81 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
6171697151454145,3260483011c0d0c0 |
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.