Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183A35933411935274437C6D130A95B3BD2A6995FFEA70A010EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:2mzLz4NP/y9svbliCdLJVJFtiuCa28y2O9:NmAn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93926d6d29929e6c |
|
VISUAL
aHash
|
006c7c6c49602020 |
|
VISUAL
dHash
|
1ccccdc9dbc8c0c8 |
|
VISUAL
wHash
|
00ee7c7f6d7c6060 |
|
VISUAL
colorHash
|
38000080c00 |
|
VISUAL
cropResistant
|
d6d4908aaae0d7dc,1ccccdc9dbc8c0c8 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.