Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115517565C109DD2B9270C0D4E571A32D96CD824997530B98A3EC473C27EB9A9DC5FEC8 |
|
CONTENT
ssdeep
|
48:YUfE6zLQ8mHDQeMt5MSjWAUf1sHcKtub8CXSL5fh6qLv:Y+t5Mvq8KtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa478972c6d83373 |
|
VISUAL
aHash
|
01010307070f0f1f |
|
VISUAL
dHash
|
83170f370f1f3f7f |
|
VISUAL
wHash
|
0307071f071f1f3f |
|
VISUAL
colorHash
|
07000048009 |
|
VISUAL
cropResistant
|
83170f370f1f3f7f |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.