Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1225133B600DD294D9B568CF1C09988415DC38AFB3148CAB2A491FF7BC4CF069A979D |
|
CONTENT
ssdeep
|
192:QAI3Jsd8hqHxTGxP5xMxMcnthWeNWbFtVFLfMmUU8VCoapDrQQLah:518hPVFLfMmUFCoapDrQQLah |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c9c133d926c3ce |
|
VISUAL
aHash
|
ffdf9b838183c3ff |
|
VISUAL
dHash
|
131b2b373b0f0f2e |
|
VISUAL
wHash
|
ffcb9981818183e7 |
|
VISUAL
colorHash
|
07000030001 |
|
VISUAL
cropResistant
|
131b2b373b0f0f2e,100c32b2b2300800 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)