Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C524521B106442B21674BDB702B3B1EB297F78ECE57A58871F982B95BE7CB0F45024D |
|
CONTENT
ssdeep
|
192:9k4ToBh09XzGbTYok4d3ik4d31k4d30Jk4d3Jk4d3yXhsm6B5Ld9O:i4TQ09iHYoqN4BqRsH5LHO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6679a9a8c88cacb |
|
VISUAL
aHash
|
ff000000f7ffffff |
|
VISUAL
dHash
|
644cccc666082606 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
06c01000040 |
|
VISUAL
cropResistant
|
00006068680400cc,39399c79793df5fe,4e4d084d0826160e,cc4c4cc68e864666 |
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.