Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A932E72FD24C02260B61C665B99913CDF70E900C7361DBEE5CF8909C23B9B559B772EA |
|
CONTENT
ssdeep
|
192:RLKLpLuTPrK9YktMJ264L6bHm2pA4gmC9oAW53ichpCGPcfVo0R937FKUidK:RulK7rK9YktMJ2TqG2pH7C6RpichpCGQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bec9c13434c13e3e |
|
VISUAL
aHash
|
ffdfbfff83837f3f |
|
VISUAL
dHash
|
fb3767c7262ec27d |
|
VISUAL
wHash
|
1b0313f383833f1f |
|
VISUAL
colorHash
|
07201000600 |
|
VISUAL
cropResistant
|
fb3767c7262ec27d,929dcc8f98adac54,292c54dce04c4c4d,edac9c8c9accd839,24a7ceae8c8c5a55 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)