Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3C2A47503482B3E9617C2E4FBA1F338516ED29ED22A965CE6BC027116CBD85F9336C4 |
|
CONTENT
ssdeep
|
384:XVRt7KCk/7svWqtvLnjrc2K/MgpS3lK6S2NjaNcFK:FRt7Dk/4v/tvLnnc2K/MgpS3YXkaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3ac1c8c9c9cdca |
|
VISUAL
aHash
|
9d8787878fffffff |
|
VISUAL
dHash
|
3b3c3e3e3cb03d2a |
|
VISUAL
wHash
|
8183838387dfefc2 |
|
VISUAL
colorHash
|
06058000200 |
|
VISUAL
cropResistant
|
3b3c3e3e3cb03d2a,1892a1bcbe86d565 |
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.