Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14553847252427A3F108343D2DB2CA75AB3C1DA4DC7921947EAEC831A72C7DA1ED2A175 |
|
CONTENT
ssdeep
|
1536:QDQ0z5DNnIAup262Q68c6Qy6h/64uL5xm/r8rdDFmc3iWx:29xIAC262Q68c6Qy6h/64jUx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1ac2c3e9e8b269 |
|
VISUAL
aHash
|
ff1e8e9b8bff9f8f |
|
VISUAL
dHash
|
693c3c33133a353a |
|
VISUAL
wHash
|
fd0e0e01898f8f8f |
|
VISUAL
colorHash
|
07e00010000 |
|
VISUAL
cropResistant
|
693c3c33133a353a |
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)