Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113F319FC13109ED91A8BC3F9FF24A6E8A35BE35ACA124D45D2FC8B2925C1CBC9D19541 |
|
CONTENT
ssdeep
|
1536:zwyuXNG3T0P2tNNODD3Oo0sR5I8SzGVuNyF1bBRjTAFujL67kv8ZBS5I8SzGVuNP:W36OeazOP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96cc6d279689c399 |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
6707ccdccccc178c |
|
VISUAL
wHash
|
01017f7f7e7e0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
6707ccdccccc178c,b7a322a5a7276e2c,486aaab2a2942626,4541057969690145,4141714d4d714901 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)