Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2C29831B100673B42C792DCB761A32FE2F39349D6560945A2F983AE5BE3D54CE3352A |
|
CONTENT
ssdeep
|
768:AScy5NASS0/S8KpiOOv7sOy2+y9BH4cLIe:ZS0QJOv7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1add0bc3c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9c8ccec2c0cde100 |
|
VISUAL
wHash
|
00e7f0700034ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,940ccec2c0c0cde1 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.