Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DB33B35330C663E197383EAA1DB3211B17CD31AC11F4D60B668E5B663A9CD9A477BC8 |
|
CONTENT
ssdeep
|
1536:fzInAOc6QBwSYxj29wz/1VFENIhOm4Je/nzi5Z:fzInAOcrBn2jxVF5z4zZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3264c1b132cecb3 |
|
VISUAL
aHash
|
0006c3e7e7ffffff |
|
VISUAL
dHash
|
69cc868e48b08000 |
|
VISUAL
wHash
|
0027c3c3e6fcf8f0 |
|
VISUAL
colorHash
|
07001038001 |
|
VISUAL
cropResistant
|
69cc868e48b08000,0000010501050000 |
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 40 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)