Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1833272B05258AD3E8163C0DAE37A272A30DA929EDF8F030097ED53F916D7C55FC26091 |
|
CONTENT
ssdeep
|
192:Mln2Ti+N1uofsh3l9TSguqTlchwTqKYDDcTHW9IIUA3/TzvyhiNQC:MlOi+N1uofsh3/SguKlchYqzDc29II1l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89d923666699dc39 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
3032b2b232b2330f |
|
VISUAL
wHash
|
3c3c181818191b23 |
|
VISUAL
colorHash
|
38001600080 |
|
VISUAL
cropResistant
|
e361ecccccf14934,3032b2b232b2330f |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)