Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199634D32A2296C2D53A740DDF339774771C2D50CD5DA8860BDA892E917C7CE53247BB8 |
|
CONTENT
ssdeep
|
1536:aLQXTvaf65mT54jueeeLeeeYeeamBm5AxNHemizmz2soD6QpeBedeeeAT9o94qe0:aKvWwGw5YGYoA820D0jSge |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2328c8c9ccdc76d |
|
VISUAL
aHash
|
ffc7e7c7c3e7ffff |
|
VISUAL
dHash
|
2c0d0d0f8e4c0f4e |
|
VISUAL
wHash
|
cfc7c3c1830203ff |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
2c0d0d0f8e4c0f4e,0701697169698287 |
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)