Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168A39B33411939274437C6D530A55B3BE2E69D8FF9A70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:vv+Lz4NP/y9svbliCdk0JjUFtiuCa28y2O9:3wmA8x3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
941ac7ef926869b2 |
|
VISUAL
aHash
|
3e1c0acfcfc1e3fe |
|
VISUAL
dHash
|
e8f4943c1c030798 |
|
VISUAL
wHash
|
3c1c088ecfc1c3fe |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
e8f4943c1c030798 |
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.