Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC4394738018E52B0633D2C87575673FDA83860FE6A309496AECDBDE17C6D91DC2A11E |
|
CONTENT
ssdeep
|
1536:mDIRbtwlJhpwTG2X4YK/qjeDKX5si40ChqvP:ftFIVUVBvP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9515e26e4e6a7ac4 |
|
VISUAL
aHash
|
000e0e0e0e81ffff |
|
VISUAL
dHash
|
98dc1838381f1f33 |
|
VISUAL
wHash
|
004e0e0e8e81ffff |
|
VISUAL
colorHash
|
06002040080 |
|
VISUAL
cropResistant
|
dc183c38381f0433,7c5c9c4c6d6d6c6e,93dcd8183838381b |
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 254 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)