Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17FC2A831A114273B0297A3CA73A1F32DA2E39249DA460D5A53F9835D4FF7D90DE2353A |
|
CONTENT
ssdeep
|
768:XIe/y5NCUDfB4xDkPsi8B7sOy2+y9BH4c1Ie:OG2Pv8B7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c747fc3a910ccd83 |
|
VISUAL
aHash
|
000030000000ffff |
|
VISUAL
dHash
|
144cc4c2cccd9300 |
|
VISUAL
wHash
|
c0e6fe002400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940cc4e6c8ccc5d3 |
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.