Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C72B561E1643A2912574299F727E7EF73718194C7090B6823F8933E7A88DE0CE365DD |
|
CONTENT
ssdeep
|
192:JZ9sYusGIzYEniycUZU8i67WJ7cXpAFP8Qf2bXQLp+UXVtxYdfyAF1yFqB7wBh9e:PDbiycf167WJYafMAI1+95TAU8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b04fa9f283e99236 |
|
VISUAL
aHash
|
ff00000000ffffff |
|
VISUAL
dHash
|
0bc3cc828c8c1696 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
1b00e200000 |
|
VISUAL
cropResistant
|
4d4d4d4d595a1803,8c8c7c16969616de,03c3c882c8868c8c |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.