Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B473EE1D61508FB356ABE5C1F0903F197893F30B8B458A61ADAA8D4C4EFBDA4F921077 |
|
CONTENT
ssdeep
|
1536:dsbDHygvp1SF6UVCL7Qq8Bb+nhywIPhtLYAGm2x5:OnhywIPht+m2x5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d948a5a6969ea3b2 |
|
VISUAL
aHash
|
f090c898fcffffff |
|
VISUAL
dHash
|
c0321120385a3013 |
|
VISUAL
wHash
|
00000098fcffdfff |
|
VISUAL
colorHash
|
06038000000 |
|
VISUAL
cropResistant
|
c0321120385a3013 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.