Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDC29531B190AA3B819BD3CCF3A2A72E76D2434DEA971A1253FD53AC4BE7C419C57016 |
|
CONTENT
ssdeep
|
768:K1UGLSVE1pOOe5bU+pN5KXiKSOIVNWhF7sBLy2+y9l0K4/1Ie:ZOe1UUN2iKPIVkhF7sBLy2+UuK4/1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c352f43a9969c5c9 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9c2cc4c8e9edcf00 |
|
VISUAL
wHash
|
00f4f0302505ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
00c0c0004c888000,9c0cc4c8e9c9edef |
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.