Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFF28616A750AB3503A303ADF970A2B9F3436284E31366986BD74EF4AED1E85D43315F |
|
CONTENT
ssdeep
|
384:hYxGTsRpZ8S/T1p+cjoVRd9Nxs0VUIa1/KEvZwHuMhZ7I4L8rk/H:hYxG/mcV6TZ9m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b069cfce64d93131 |
|
VISUAL
aHash
|
ffffc3c3c3c7ffff |
|
VISUAL
dHash
|
130e9e968e9e101e |
|
VISUAL
wHash
|
99c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
130e9e968e9e101e,75f3f2b3e78fe763 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.