Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13051127180287C3B520395D8B9D1779F66D7C30DC68A384CB17843A91BE2C68DAB2524 |
|
CONTENT
ssdeep
|
48:TmWboB8kKgJVVhfke5cM4ky0Ia+nal1CCCZMdybBLP5y71dEcOON:TmWYpV959Iaca30ZMdCFxedE0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83f67709098999fc |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0ccccccd0d0d0c8 |
|
VISUAL
wHash
|
1c0024240c0c3c24 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
809c989880808098,f184acb6b6ac84f3,0e71710e20000000 |
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.
Pages with identical visual appearance (based on perceptual hash)