Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18362756021615EBF1783D5E076A1EB4AF195F388C96FC91953FC634B2ECECC1CA92606 |
|
CONTENT
ssdeep
|
384:j9Aa8HHt3kZIzwswEKqrsnZu5D1Z09d9/5U/Y:j9ZuhkZSwswsaUCkY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a42439dbdbd2c664 |
|
VISUAL
aHash
|
080000ffffffffff |
|
VISUAL
dHash
|
d9d7e6241a0c9636 |
|
VISUAL
wHash
|
000000fbefe7c3ff |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
d9d7e6241a0c9636,aaca88bc9af2b232,277565c8d8f17d1d |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.