Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1E134E1C048DC3B531386E6B7F6275F7596C345CB020A8853F853EA5BDEC60C927A99 |
|
CONTENT
ssdeep
|
192:QUs479oh4lzH03snhv4yEZLRZPzrhvtSQR:QUsYnhv4HZLPpvt9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3434363b83c7cbc |
|
VISUAL
aHash
|
0000ffffff0000ff |
|
VISUAL
dHash
|
ddcd36000a236c90 |
|
VISUAL
wHash
|
0000ffffff0000ff |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
f0d4aa8e698ecce8,4667a94bda984b4e,0020303030280812,2900000000000000,4424c9d4e1cdc453,230303232323eccc |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.