Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A02285A45668412133ABCFADB0A46BECB367A14EC733A054F2D8878493C9FFCCD55605 |
|
CONTENT
ssdeep
|
96:XgQrCSdl/k++nBBxfhe9lCdy+JuVlfK7cfQ43v33MgRj+xG+TOcUQOFEcyMZ8TV6:XZr5srLwL3lj+4ocfk7y7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c7422db89769cc9 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
1000b0b032301000 |
|
VISUAL
wHash
|
64355e1e99dd1a45 |
|
VISUAL
colorHash
|
38c03000000 |
|
VISUAL
cropResistant
|
1000b0b032301000 |
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 489 techniques to evade detection by security scanners and make reverse engineering more difficult.
Found 1 other scan for this domain