Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4A3AD23411975274437C2C134AA5B3BD1B6D99BFAE70A410EECC7FA2BFACA0741B519 |
|
CONTENT
ssdeep
|
768:qapR4nXF6YjOpSpFlTC6rrfT680dSysg7uZRM:RpR4nXBKpSpFl26vb68cSysMYRM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9213ed4c5ced6961 |
|
VISUAL
aHash
|
0004040404ffffff |
|
VISUAL
dHash
|
9cccccdc9cac002b |
|
VISUAL
wHash
|
0006060606ffffff |
|
VISUAL
colorHash
|
12001000e00 |
|
VISUAL
cropResistant
|
485a526b91909040,0000408080400000,8000619191610080,0020408080004000,0030c0c8c8508000,888a444a2c97b1a9,ec002956562b2b2b,d1bcccccccdc9cac |
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 118 techniques to evade detection by security scanners and make reverse engineering more difficult.