Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10FA37A33411935274437C6D530B55B3BE2A69A4FFAE70A010EECD7EA1BFACA0B45711A |
|
CONTENT
ssdeep
|
1536:3QZ0xSU1sLz4NP/y9svbliCdbwXCo3zFtiuCa28y2O9:WmAwe4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d4698403 |
|
VISUAL
aHash
|
00002000040000ff |
|
VISUAL
dHash
|
1449cbe3ccccd3d8 |
|
VISUAL
wHash
|
c0ff61300e007eff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
d900c08018588090,1449cbc3c9ccc4d0 |
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.