Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9F319302748793D6A3383E9F1D6732263AC819AF61F8560E66CD57127CAC4AE533ED4 |
|
CONTENT
ssdeep
|
3072:eaw6IOGBlVHDbLGx4ZcbcwhAQ3G5gsDumbpym4/TBd5H4:ebBlVHvLGx4ubcwhAQ3G5gsDumVMLBdu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e959c7464832639f |
|
VISUAL
aHash
|
38d3c3c3c3c3e7fb |
|
VISUAL
dHash
|
71230b1f330f0f13 |
|
VISUAL
wHash
|
18c3c3c1c3c3e7d3 |
|
VISUAL
colorHash
|
03200038000 |
|
VISUAL
cropResistant
|
71230b1f330f0f13,161a88d6da885c15,d454b5b793b3d4d4,4951523276c9a948,a605239fdf73373d |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)