Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172A3EF23411965274433C2D1346A5B3BD1B6D95FFAE709410EECC7FA2BFACA0B46B219 |
|
CONTENT
ssdeep
|
768:S2EtpR4nXF6YjOpSpFlTC6rrW1+dEPg2iOpIVIVV/pjG:SrtpR4nXBKpSpFl26vdd6gYpIVIVVBjG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9652ed2939e9e941 |
|
VISUAL
aHash
|
0004040404ffffff |
|
VISUAL
dHash
|
1c0ccc8c8c0c002b |
|
VISUAL
wHash
|
0006060606ffffff |
|
VISUAL
colorHash
|
0a0000006c0 |
|
VISUAL
cropResistant
|
4d58d86c112020c0,0000408080400000,000041a121410000,00204080a0004080,8a9216a25a12a4a6,0c000956562b2b2b,c10c4ccc8ccc9c0c |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.