Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122A37A33411935274437C6D530A95B3BD2A6DA4FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:wcHLz4NP/y9svbliCdftLlq+FtiuCa28y2O9:tmAetC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9323f53ad42cd44b |
|
VISUAL
aHash
|
00000000000400ff |
|
VISUAL
dHash
|
1c59c2f0f9fd73f0 |
|
VISUAL
wHash
|
00af3f181c1f18ff |
|
VISUAL
colorHash
|
11010000c00 |
|
VISUAL
cropResistant
|
61700081383080a0,1e594af0d0f9bd73 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)