Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17655A77232205EAA56DBCBE0B2637F74A1E5C3C5C11B42DAE2F983B11FCAC59D953190 |
|
CONTENT
ssdeep
|
3072:KjpUEskOgkOgkOgkOgkOgkOgkOgkOgkOgkOgkOgkOgkOgkOgkOgkOgkOgkOgkOg0:IpUYGGGGGGGGGGGGGGGGGGG7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9280699096e5edef |
|
VISUAL
aHash
|
df00202e3e66a099 |
|
VISUAL
dHash
|
37d1c5ccdccc4f31 |
|
VISUAL
wHash
|
ff00742e7e662199 |
|
VISUAL
colorHash
|
08007000080 |
|
VISUAL
cropResistant
|
0000000000000000,0000000020202000,828a314c4d4c3186,a28a200e9e966892,a28a304c4d4d308a,8286699e96966882,37d1c5ccdccc4f31 |
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 158 techniques to evade detection by security scanners and make reverse engineering more difficult.