Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12003CB207840ED2641DFA9C962775A2A62FA8341C6130689FEB2C7F957EFC6CCB37154 |
|
CONTENT
ssdeep
|
768:3TuxzFOmsIx/jEaSquuMrtJlUVgiYdjcLxUf7e:juxzFOmsIxgaSquuMrtJldiYdjcy7e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d712e0699de4678a |
|
VISUAL
aHash
|
000000040000ffff |
|
VISUAL
dHash
|
d8e4c4746a4e060c |
|
VISUAL
wHash
|
00042436bea4ffff |
|
VISUAL
colorHash
|
0b0060000c0 |
|
VISUAL
cropResistant
|
d4545647c4cd2d29,f0e8f081c0f0c0b0,4a4b4e8e00212e0c,cad5e4c4746a4a0e |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.