Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF517565C108DD2B9271C0D4E571A36C96CD824993130B98A7EC477C27EB9A6DC5FEC4 |
|
CONTENT
ssdeep
|
48:egstSfETLQ8mHDQeMt5MSjWAUf1sHcKtub8CXSL5fh6qLv:egst7t5Mvq8KtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa4d99738ad83372 |
|
VISUAL
aHash
|
0103071f070f1f1f |
|
VISUAL
dHash
|
ab574fb7cf5fbfff |
|
VISUAL
wHash
|
0307071f071f1f3f |
|
VISUAL
colorHash
|
07000248009 |
|
VISUAL
cropResistant
|
ab574fb7cf5fbfff |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.