Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5E25231B194273B41A7C2C9B720671EB2D3838DEBD6195163F9839D0BEBE50DE5342A |
|
CONTENT
ssdeep
|
384:We/GLB8gURAFclfWwTXjuzuOPrWgVN0rKj5uIYsOy2+y9BH4cCUIe:We/GLB+j6yDKk7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f43a896dc5c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c0cc860ddcd9b00 |
|
VISUAL
wHash
|
00c4f0301d07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c2ccc40d1ddcd0f |
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)