Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17073747A12426A3F128382D1835CE76AE382D60FC7B7494AD7E8831B67D6DF0DD351A4 |
|
CONTENT
ssdeep
|
1536:uZu2Ov+DcKT0G4QN2rDym0JpGI5L6B09xVuz8jg:dolugLRng |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e05286be366cbc96 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8cc983131c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,2524d7474a226666,b1a67395b5194b4b,38789d9c8c8c8d8f,8512382727000f0c,848fc9c98b23338f |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)