Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162730B992854601A472780E3A4BB2BC9F7391C2FB91815E1B4B4C7E572BC8F5316AF4F |
|
CONTENT
ssdeep
|
768:ryWuP/yuWcNwG/D51sS5XCK9U1Mbzbc8n+M1nrT/ut2ro5ufWiFTH+LLzRZjQvLt:Jl1SWyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8f0ce4ece4e03c7c |
|
VISUAL
aHash
|
f31f0f3f1f1fffff |
|
VISUAL
dHash
|
967e76c6666e4a4e |
|
VISUAL
wHash
|
533f0f1f03072727 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
967e76c6666e4a4e |
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 701 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)