Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9B2FBB23044A0235563D1DD21772F1EA292859EDF6B8589E2E0E3AF3FD5C5BC4C2768 |
|
CONTENT
ssdeep
|
384:eHgJTc3kimC4TbhQTSwzu2Kp2JqTy3Fjmev+jLa9cCOaAWj2nvUwXNAfLwUWAuYd:hJTclmC4TbhQewzu2m2JqTCFjmeviAtd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce26893133cdb6b1 |
|
VISUAL
aHash
|
1018f3e74020b9bd |
|
VISUAL
dHash
|
b032a64d4d4e7271 |
|
VISUAL
wHash
|
1018d3e7c0e0f8fc |
|
VISUAL
colorHash
|
06203000040 |
|
VISUAL
cropResistant
|
b0634b2b4d339e8e,b032a64d4d4e7271,70614b0b2b1d6d33 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)