Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1D27332F000373B129783C9B760F76EA2D79288FB45051657F9936D1BD7EA0DA2381A |
|
CONTENT
ssdeep
|
768:RUSky5NoBjtvtgJKv/wk3YuEHp6n66PdNXdfiRCj0paaY9GQVArEYN/fx/KV7sOn:d8GwuxCV7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d342f43a9d69dc82 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9ccccccacc2c8300 |
|
VISUAL
wHash
|
00ee7c600e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,98ccccc0cacc0c40 |
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)