Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A83293272593C3E538B40D9B3796B4A71C3E518DADF0860B9A863D917C3CB5314BBA9 |
|
CONTENT
ssdeep
|
1536:rLQXbvTCQmw0DHPZMq9TQT54jueeeLeeeYeeamBm5AxNHemizmznsoD6QpeBedeA:ruvWOwkwfYGYoA820D0jSge |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2328c8c9ccdc76d |
|
VISUAL
aHash
|
ffc7e7c7c3e7ffff |
|
VISUAL
dHash
|
2e0d0d0f8e4c6d8a |
|
VISUAL
wHash
|
dfc7c3c18302037f |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
2e0d0d0f8e4c6d8a,0701697169798287 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)