Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100C42BF093D19ABB40879BE0B460F39AE15B553AEB67E94CF3C88B557BDAC1E8C10450 |
|
CONTENT
ssdeep
|
3072:Xx5g5/4el7sZEOZeiHPCuuUZs5RNL4ZujVgub5tIZ/rvLfqL5XZEfZeiHPCuu1Zk:Lg5Qe8Qy6mGKqyg0cS+22X0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d212ad27f652c69a |
|
VISUAL
aHash
|
00003c6c240038ff |
|
VISUAL
dHash
|
d430e9c96d647106 |
|
VISUAL
wHash
|
26003c7c3c34bcff |
|
VISUAL
colorHash
|
32006000080 |
|
VISUAL
cropResistant
|
6489000d0a001616,dcd279c9c96d6071 |
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 80 techniques to evade detection by security scanners and make reverse engineering more difficult.