Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBC29331A010363F1297C3D977A1F72EA2E39289E75A091653FD835E0BE7E90DD1361A |
|
CONTENT
ssdeep
|
768:zSFy5NqH51d7qtV8hBy7sOy2+y9BH4cLIe:E51d7OyhA7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f82ecd2c81c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0808c8e0c80c0f00 |
|
VISUAL
wHash
|
00ece4203c06ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0680a00458988000,8c08ccc0c0cccc0f |
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)