Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1058411E8E5385D7E0053A2F1E1662BCA3D84F645C6F6028043E8E3547AD5FA8B72747E |
|
CONTENT
ssdeep
|
1536:XlizUiqiJyzF0OzfoYrUiqiJyzF0OzpeEBpZmgnqyZpprmiMwbY8djycy:XkzUiqiJyzF0OzXUiqiJyzF0OziSy5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca1de8673077329a |
|
VISUAL
aHash
|
001818183c76ff7e |
|
VISUAL
dHash
|
e0f0f0f0f0e86bf0 |
|
VISUAL
wHash
|
00183c183c7eff7e |
|
VISUAL
colorHash
|
0be00000400 |
|
VISUAL
cropResistant
|
f0f0f0f0cc4ce8aa,e084ead1cccce9c2,7d7ee0909899a9d3,e0f0f0f0f0e86bf0,69600c3313931336 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)