Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171A36933411935274437C6D130A95B3BE2A6995FFEA70A010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:/pt1PhzLz4NP/y9svbliCdHHNm1MFtiuCa28y2O9:LmAaHE1f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d538b129b547 |
|
VISUAL
aHash
|
00607000000000ff |
|
VISUAL
dHash
|
9cc5c3cbcc2cd3f0 |
|
VISUAL
wHash
|
44fffb71040030ff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
c080c12030808080,dccdc3cbc9cc0cd3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)