Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146C13031A000DD2B03C2D7E8A6BAB70B7355C349D6435A565BF8C38D5EE3EA5CC26261 |
|
CONTENT
ssdeep
|
96:n9eFWPJYKP06hiXlAm3JRy6wgsrs2dRd8ujsiMf/PzeQMvuQ6w60nQJvi:8Q0XymZy6HicnzeDuQ6B0QJvi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c4b7326d899cce4 |
|
VISUAL
aHash
|
180018181d1f0f9f |
|
VISUAL
dHash
|
7161713331357938 |
|
VISUAL
wHash
|
191818181f1f1fff |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
7161713331357938 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)