Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164122F30700234A656738AC2F4A19F0C221BD335C6961AACB7E90671AFCECF559767E8 |
|
CONTENT
ssdeep
|
192:DeUVbygS3QIiStMZtWW/vErEF65LfrLf+Lf0McfYNqHTzhBeC3D:5UJskWtF65LfrLf+Lf0rCgTzhBeC3D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999666699999966 |
|
VISUAL
aHash
|
00003c3c00000000 |
|
VISUAL
dHash
|
2100b2b200001000 |
|
VISUAL
wHash
|
031b3f3f18000000 |
|
VISUAL
colorHash
|
38006000040 |
|
VISUAL
cropResistant
|
c9c18c8c98d88080,2100b2b200001000 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)