Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5C124E1C814DD3707128AD4E7F66F0BB291C749CB421540A7F883AFABDACA0DB1555D |
|
CONTENT
ssdeep
|
96:TkNYwTMOeOlMOnzeNNeSTgGJtmMTlWXZzMFa4g7XddHFmaXrX/gFbt7lMxJ:QNYwTZblZnzeTkGJIMpWXZzLBXarM3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd18736734475b1c |
|
VISUAL
aHash
|
00181c1818787000 |
|
VISUAL
dHash
|
4d32b2b230c3c33c |
|
VISUAL
wHash
|
001818187ef9f9ff |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
0cb2b2b230c3c23c,0000000000000000,0101010101110101 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.