Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E891EF76E4D4123B27274AEDB87A575E32E3C20ECA57181436BCC7D98BF6D46C80A097 |
|
CONTENT
ssdeep
|
96:TOGMSZSZSTyNLrJ5HOk2EujPKWySawysHdoj4x1CpETj8xlKjPy5sNET:VFII+NvJ5uuujypkoEx1CpAYKasNET |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf1d3171151d2761 |
|
VISUAL
aHash
|
00ffbf9fffffffff |
|
VISUAL
dHash
|
3e3021308c0e1244 |
|
VISUAL
wHash
|
00020002e7ffdbff |
|
VISUAL
colorHash
|
07040007000 |
|
VISUAL
cropResistant
|
388129300c0a0200,001606b6b64e0000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.