Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A154F8E1E134AE36002753F2E397BAD172D9F280C36104849BFD1754ABEDD74A92399E |
|
CONTENT
ssdeep
|
1536:Zaz10rfruTZJ7CoY6bhO8AjcmYXynIBE+Ch35rBXvDUKZl1qz2T/87K3YxgGnqAH:UzofQ2YkJCn4RHcHV1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfd2c225d2383939 |
|
VISUAL
aHash
|
fffb81cb838383ff |
|
VISUAL
dHash
|
49131b3b67272759 |
|
VISUAL
wHash
|
fdd98181830383ff |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
49131b3b67272759,53d2d3d1d1d25355,d4480b394e8aa934,aa52aa2a523432aa |
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 26397 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)