Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1196384B622836B3F208382D1875CE359D3C3D64BC7675946DBE8832B66C6DE0DE26174 |
|
CONTENT
ssdeep
|
1536:hMh8r3zzab5cc70NtX8QqEg06DzAR/0gtRxVur8kU/:U43HNHuaV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d496bc |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
8ccbc8d0cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4c8cc238e96,848fc9cbc0c8dcdc,4501656171714151,0145557151454580,884c581c4cc88d62,41ca9d3d6d7a4a03 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)