Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130E141E1C414ED3B471285C9A7FA6B0B73D2C35DCE02088093F883AFA7DAC60DB15599 |
|
CONTENT
ssdeep
|
96:Tk3Zq0fzeRQeSTgG6BfVeyXeDwvF1euWXpHFIexXIHkP4KZK7XkX/tLytm763kPd:QXfzeckG6BuuWd62XNyY7rPd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b9a6c65c39a1867 |
|
VISUAL
aHash
|
00001e3e3c000000 |
|
VISUAL
dHash
|
423038d9c8864800 |
|
VISUAL
wHash
|
00ff1f7f7e6c0000 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
c0b2b2ba82a280a2,09a280a2a2a28082,018280a2a280a200,423038d9c8864800 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.