Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1804187304064DD2712C2D3E896B9571F7386C38ACB532B164BF4C3AD6EE7DA8CC56290 |
|
CONTENT
ssdeep
|
48:nmIPpTjkU45WZ2axw2IaY6xGdWgAe7Yw7Nm:nmam7WBGdfAe7lm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8459707659d9666e |
|
VISUAL
aHash
|
0000383f37373737 |
|
VISUAL
dHash
|
88e4f2d365e6e6e6 |
|
VISUAL
wHash
|
00003b3f37373777 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
88e4f2d365e6e6e6 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.