Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120935639A2441B3DA087C3A5F774BB38915DC387C32FE95EE5B892725606C49EC235E8 |
|
CONTENT
ssdeep
|
768:CDFPv6H2xCOgG0MrnPoVAhLKgm3hGmlytmCHkvLxMmX7tLkbCV7ohjF:ChnYGmCKBR3wMY0dqF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d443bcab4c23bcc3 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
29c8dcc8e0103926 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
0601614949210000,e0801322c0213226,0021485048081200,30c8c89848dcc0e0 |
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 93 techniques to evade detection by security scanners and make reverse engineering more difficult.