Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE236D326015DC7315A3A9D4B6B4531F33AAD70BCE030B87A7F8ABAC9BD9D94DD22411 |
|
CONTENT
ssdeep
|
384:CTstTs5nfrl9P0FHW5aG4NZelxsWHNcqpnq0sSvKVN/:QQYfwFHW5aG4NO7tcqNI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96694b435688c7e7 |
|
VISUAL
aHash
|
0000ffdffffffe3e |
|
VISUAL
dHash
|
491f0fa8a8e46464 |
|
VISUAL
wHash
|
0000e7df2f3e3e3c |
|
VISUAL
colorHash
|
06001030000 |
|
VISUAL
cropResistant
|
e9e566014949010e,1f0fa8a8ecf46ce4,0029e9e9e992e4e4,2f1b37571f1b1e36 |
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 346 techniques to evade detection by security scanners and make reverse engineering more difficult.