Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F10200326504ADB70183E3E6E774E76F7686D349CE932682A2F8974D4FC7CAACD51204 |
|
CONTENT
ssdeep
|
192:VW4WaWrqY5P0nBsx84vRlP728CRJoTKxSX:VW4WaWrqyKsxv28kEX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e464646565ce9a9b |
|
VISUAL
aHash
|
c3c3ffffc3ffffff |
|
VISUAL
dHash
|
8696416902280000 |
|
VISUAL
wHash
|
c3c3ffbd00000000 |
|
VISUAL
colorHash
|
02e00000000 |
|
VISUAL
cropResistant
|
8696416902280000 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.