Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E226433E600DD2A8D9B668CF2C09649461EC349FB3108CA65A491FF7BC4DF069DA79D |
|
CONTENT
ssdeep
|
192:/M3J6YcqcschJqwuEKx6Ll1OMcnthWeNWb3XPNfMmUU8VCou:GcqcschMwzl1tXPNfMmUFCou |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f6585c725c487678 |
|
VISUAL
aHash
|
00ffffffe7e7ffff |
|
VISUAL
dHash
|
20000c0c0c0c0008 |
|
VISUAL
wHash
|
003f232324240100 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
00000c000c0c0008,00c0202020200080 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.