Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5430A993855B0164B7340E390BF2A8AB3391C2FB81C45A1A1B4DFE571B88B5606BF4F |
|
CONTENT
ssdeep
|
768:OyWu8n+WPy/u/sC11R5SM9XcNwGWirDLjwX8UMnpVdL6GXImZvulwvSm7f070lSy:8GIyOloQzZs8oWQbp |
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 703 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)