Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17341C5A0B0024E3F60638A24F0D977378479D30AE82F3CCCE1AE82B372C1D54C6516D6 |
|
CONTENT
ssdeep
|
48:TGi4GdGnlM4GAlsG8pAGtiQa/WGxJJP9KvhpcROgBiPiqY/EzRyDQsx2veo783QY:TGvoGlx7sdpAQiZuOJEOBfpORyfxoStv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f7982c709b8b27c8 |
|
VISUAL
aHash
|
fefcfcfce0e08000 |
|
VISUAL
dHash
|
0010282a080c1000 |
|
VISUAL
wHash
|
fefcf8f0f8e08080 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0010282a080c1000 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.