Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F373657211426A3F118386D1C72CE35AD3C3D64AC7A7898697E8831B37D7DA0ED365E8 |
|
CONTENT
ssdeep
|
1536:rFiYgLQDcXh0z4CmG6Wyk0CtG/3jir0sxVuz8jl:96/rPjPql |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2502cbe96d6b6b8 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
cc93ccd0cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc236286,84cbe993c8c8dcd4,4561417971690141,17496969696995a5,00454d7171414541,89cb29aaa9882408 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)