Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198133D709400987B0197A3E49A3C9B2BA3E1D348CEA30A157BF9D34E5FD7E94CE63165 |
|
CONTENT
ssdeep
|
768:wzz4uWBCx4Kgpw4qFmekHx8QuCqNU6rsHc5RfClEQIg7yXQIgVNPl22hyXQIg7yH:wzz4uWBCNgpw4qFmekHCQuCqNUksHc5t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9516d2216dfb06da |
|
VISUAL
aHash
|
000014030207ffff |
|
VISUAL
dHash
|
caeeecf6d6f65b06 |
|
VISUAL
wHash
|
00023e07031fffff |
|
VISUAL
colorHash
|
16c00000040 |
|
VISUAL
cropResistant
|
63635961735c2bc9,eef6dee6f6184726,d8eeecf4fef6dee6 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.