Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127E3F8F5A3F8A2E8E80BC7F8E672A476316B34FF7F56C65851981E94F26108D484DC81 |
|
CONTENT
ssdeep
|
1536:U8ANd8P8PcMr/MuwWzZ0ueE++6Pc/Xy8ksKhY6Iu:BrdV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f46464247475db33 |
|
VISUAL
aHash
|
c3c3ffffffffe7e7 |
|
VISUAL
dHash
|
9696607061614c4c |
|
VISUAL
wHash
|
00003e3ffcfcc0fc |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
9696607061614c4c,d3f3b2b2f29261e0,4100083030300841 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.