Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19F72B933B4406C37611383D9FEA1BB5A9192EB0DCB0756C1E5F983BD1AC6CB2F91191A |
|
CONTENT
ssdeep
|
192:afXqgdh6ycqdVfspwcDMu0Z6RLixTU29jODzSssN19mlAKa4OEFenNzrUXZ7:afXqih6AspwMF6OfSssNSl0EF2NzgXZ7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f35358585c567259 |
|
VISUAL
aHash
|
08ffe7e7ffffffc3 |
|
VISUAL
dHash
|
b82a4c0c32200206 |
|
VISUAL
wHash
|
0884243cfbfbf381 |
|
VISUAL
colorHash
|
07000000380 |
|
VISUAL
cropResistant
|
b82a4c0c32200206 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.