Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F51284A28404541B121281C97667FB4F60839346CF761851A7D543AFBBEEAF0DCBB39B |
|
CONTENT
ssdeep
|
192:FSiS7oiwQcYIhFB+unhnzgJ3OUz3NXTQU2a:FSiS7oiwQ8f9UOU3NXTQUB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e46cce4e65331b13 |
|
VISUAL
aHash
|
00c3c3c3c3ffe7e7 |
|
VISUAL
dHash
|
0606969696300f4d |
|
VISUAL
wHash
|
00c3c3c3c3c7c7e7 |
|
VISUAL
colorHash
|
06040000180 |
|
VISUAL
cropResistant
|
8606969686300f4d,0000343430303410,a7bcdc93cab24ee6,ae8e89141414107a,46c6c299510b9b0a |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.