Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17CE2A2319148AA3F05AB73C0F7B1E39BA28143C9E947476A82FD874D0BDEC90ED17995 |
|
CONTENT
ssdeep
|
384:YkfIIViYIIIII9mlBVy+Ls1/l+gY2JxsFEykGRqfbpW:RfIIJIIIII2w1/812JxsFEg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3791c1c29e396 |
|
VISUAL
aHash
|
00e1e7ff7f381818 |
|
VISUAL
dHash
|
c7cfcdd3e5e3f070 |
|
VISUAL
wHash
|
00e1e7ff7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3cacd988c8c,0000606868000000,c7cfcdd3e5e3f070 |
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)