Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE234C776731B8A883DB51EEE7382D5AB2C5489DE8CB4400F5C9968D23C7C906287BB4 |
|
CONTENT
ssdeep
|
1536:a++EsZ/8fDVR2MuBcRaMuB1DrpRXPZlQaQD9OehM+BrUgq4z:aL0R3RwDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb956ae69595c490 |
|
VISUAL
aHash
|
fb818f8f8f818181 |
|
VISUAL
dHash
|
0359595b59491109 |
|
VISUAL
wHash
|
ff898f8f8f818181 |
|
VISUAL
colorHash
|
33c00600000 |
|
VISUAL
cropResistant
|
0359595b59491109,343038383cbc9c89,fef9f1e1f1e6e4e1,439a9a9adac21988 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)