Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ABE285316200773B41D7D2D9B352A71FA3A78345D74A050593FD83AE0BA7DA4CA3752E |
|
CONTENT
ssdeep
|
768:1S5y5N9YFmPVImBKs6yoamuRf0qTKQx8gghCtrZw087sOy2+y9BH4crIe:iFNt4JghQ87sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269fc12cd0d92ed |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
0d094f4bc90c3c00 |
|
VISUAL
wHash
|
80c5f301040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffcfcffffefe,0080800078908000,0c09496b4bc95c3c |
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.
Pages with identical visual appearance (based on perceptual hash)