Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137E2FD21A845DD2301DF99E95232422662F98399C6230698FEF4C7F95BEFD6CDB37044 |
|
CONTENT
ssdeep
|
384:qroUa87esJO5xVZjqTSaxVWxFZ8VYkoOq6h7Ehe3ft:ZUf7esIx/jCxVWxLEqo7Ke3F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f8f00787f8d1e8e0 |
|
VISUAL
aHash
|
ff00c0f8d0b07f00 |
|
VISUAL
dHash
|
cc878391a16150c3 |
|
VISUAL
wHash
|
ffc0e0f8f0b07f00 |
|
VISUAL
colorHash
|
10000000180 |
|
VISUAL
cropResistant
|
10002a222a2a0009,e0cc9c8cc8e0e0f1,4d4d498a8cc83234,dd55564f6d56171d,cc8381b1a16150c3 |
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 71 techniques to evade detection by security scanners and make reverse engineering more difficult.