Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19F83E7F7D288AA75F21363E4F1A162151226166ACF0ACEC8DF7852F4F7C5D885C37A81 |
|
CONTENT
ssdeep
|
768:Zbtx99VtdCiW2p6kuOS5Wcl/J0Fff5btx99VtdobeZhve/fQAeJeSeAHuUHUBe3f:22oejeQAeJeSeAHuUHUBeMY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad056d963a127ad6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
97c7c7d93323373b |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03400030000 |
|
VISUAL
cropResistant
|
57c7c7993223363b,ee6131969496a629,52d28eeacacc6973,dcdeaed8d8a6d0c4,dc5716c7c7e7d9cf,7fffffffffffffff |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)