Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115D26435A1846B3B4297C2C8B3206B1EB3D382CDEB9A191163F9539E4FE7E50DD17426 |
|
CONTENT
ssdeep
|
768:Ie/GLi3tDnLzmdA7UNLaqg7sOy2+y9BH4cLIe:b5nwA17sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f53a9169c5c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c0cc0c8cdcd9b00 |
|
VISUAL
wHash
|
00c4f0300f07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,dc0cc4c0c9ddcd1b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.