Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBC2A631B010363F029793C97790FB6EA3E3528AE756041642FD879E4BA7E54EE1352B |
|
CONTENT
ssdeep
|
768:aqYSFy5NNWqPmp9Y0RUWoAemxau1bjlTtePCBU1G3EnAiL4X/j8ekE2nxBlqFMa4:f0nAfizWY7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f83acd2c90c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0808c8e0c80d0f00 |
|
VISUAL
wHash
|
00e4e4303c06ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0680a00458988000,8c08ccc0c0cccc2f |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)