Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE34F7A0E3B282795003C790EBF53375703ED285AE230E689779837B6367DDC665B186 |
|
CONTENT
ssdeep
|
6144:dGBKkocDWoVKkocDWoUf2Hu6ptAcDvf2Hu6ptAcDQ:dGz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2872d72d2926bf0 |
|
VISUAL
aHash
|
04003c7cfc180400 |
|
VISUAL
dHash
|
6d3270d5d430bd31 |
|
VISUAL
wHash
|
1c1a7cfcfebc1c00 |
|
VISUAL
colorHash
|
39007000000 |
|
VISUAL
cropResistant
|
2d3c181a1a3a52d3,37a5acdcd2dccd4f,f09c8c9cf09c8c96,6d3270d5d430bd31 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.