Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AEE372A8521085368193C9DB6A311B5E639DC145CA07BE968BF483C7AFCAF94DC1738F |
|
CONTENT
ssdeep
|
1536:7YjzP3mkkT8u0c2OHaNZ77kqSpgcDmXTp2NU8Wun6t577LS:7O3mkK8BLaDmXl2oq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b599692e5295d545 |
|
VISUAL
aHash
|
1b1f7f0e04070300 |
|
VISUAL
dHash
|
9697d6d88c567609 |
|
VISUAL
wHash
|
1b1f7f6e0e0713c0 |
|
VISUAL
colorHash
|
39011c00000 |
|
VISUAL
cropResistant
|
2d191b3236b499d9,0112998387e46378,9697d6d88c567609,51534b2e3e1c1c0f,e183ce8d1a3c7871 |
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 493 techniques to evade detection by security scanners and make reverse engineering more difficult.