Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A33E7106211B36E6C734F34F38970B6C2AED385E5A6B82DB395926130E3179C75BCE9 |
|
CONTENT
ssdeep
|
1536:2m70wA3wnH+DIu6o3E4twQrSuqDZ7U1c/T3gYJ7bpBJ:hEYJ71 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33c8c3333cc3333 |
|
VISUAL
aHash
|
87c7e3c3c7c7ffff |
|
VISUAL
dHash
|
1d1e1e164e5e0058 |
|
VISUAL
wHash
|
0083c3c3c3c3ff8f |
|
VISUAL
colorHash
|
07246000000 |
|
VISUAL
cropResistant
|
1d1e1e164e5e0058 |
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 428 techniques to evade detection by security scanners and make reverse engineering more difficult.