Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111330A312CC4676B629343C0A351EA1BF3A791C1E275C65BF5E6C71A1AC8D94CC3BA9C |
|
CONTENT
ssdeep
|
1536:NrKac66ljaDbRKI1cDbbIsxO/Way19BdxHucl5wAEJTH:NuRSUb7tl5qH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebebcacaca94 |
|
VISUAL
aHash
|
fd06060606ffffff |
|
VISUAL
dHash
|
71ccccecec2c383f |
|
VISUAL
wHash
|
fd0606060604ffff |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
0001495161490162,96d6e8b294710f8e,d00c2c3c3c0d180b,ecccccecccececec |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.