Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E4283E1D054ED374B2280D9A7F56B6B75A2C309CF020D8453F853EA9BCACB1CB2259D |
|
CONTENT
ssdeep
|
192:QISzXuRzXFfrz4TGydrJtR964BsbzBp8FGF4PChzZr69SHYGBYK974ndr/8F:QISzUdzu75JQbzzVyaL69EzBX4nx8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3f288dc0876237f |
|
VISUAL
aHash
|
7fe7e7e7e7e7c303 |
|
VISUAL
dHash
|
c08c4e0c0c4c0ed6 |
|
VISUAL
wHash
|
7fc3c3c3c3e38301 |
|
VISUAL
colorHash
|
07400018080 |
|
VISUAL
cropResistant
|
c08c4e0c0c4c0ed6 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.