Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B223A73110C45F2B55C753CCB354FA0BF6999084B26AC75EF1ED832E06DAE58DC27AA8 |
|
CONTENT
ssdeep
|
768:pIqeyfFOvXhLTB++B45vrZmBF0wHkwydvvP1WfHGnRBYu1yewCPgN6:pIqe4FO5Ld++B4NrZyFDkwydvH1WfHo9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94ebe9b6b9ca8490 |
|
VISUAL
aHash
|
ff00200006061606 |
|
VISUAL
dHash
|
71f0c4f4ecececdc |
|
VISUAL
wHash
|
ff187e000636367e |
|
VISUAL
colorHash
|
02000000030 |
|
VISUAL
cropResistant
|
0001416363490002,84c4e0b0885e988e,32c4d0ececececdc |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.