Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A237762D068593B12EB62D9B2A07FCFF5C2C20CCA530A057BF8A75DABD3D95993110D |
|
CONTENT
ssdeep
|
768:IUFGlzFCW4rsJ4rn44r8j4rlQ4ratbW4rgG4rn24r8uqO35x0:IIW4rsJ4rn44r8j4rlQ4rapW4rgG4rn8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c0d37378ccc627b |
|
VISUAL
aHash
|
03021818180000ff |
|
VISUAL
dHash
|
f6ceb1b2b2140182 |
|
VISUAL
wHash
|
0302181818fbffff |
|
VISUAL
colorHash
|
3a007000000 |
|
VISUAL
cropResistant
|
3b323434384a4b4b,2b6e565bd9b12323,f6ceb1b2b2140182 |
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 673 techniques to evade detection by security scanners and make reverse engineering more difficult.