Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1983272B05258AD3E4163C0DAE37A272A30DA929EDF8F030097ED53F916D7C55FC26091 |
|
CONTENT
ssdeep
|
192:Mln2TQ+N1uofsh3l9TSguqTlchwTqKYDDcTHgIIUA3/TzvyhiNQC:MlOQ+N1uofsh3/SguKlchYqzDcAII17Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cd9236626d9dc39 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
3032b2b232b2330f |
|
VISUAL
wHash
|
3c3c181818191b03 |
|
VISUAL
colorHash
|
38001600048 |
|
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.