Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170A36933411935274437C6D130A55B3BD2A6DA8FFAE70A010EECD7EA5BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:DfrLz4NP/y9svbliCd85G+qFtiuCa28y2O9:jmAH5d5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bf532d128b069 |
|
VISUAL
aHash
|
00000000000400ff |
|
VISUAL
dHash
|
1c7452d0f83c3df0 |
|
VISUAL
wHash
|
00ff1f3c0e0f00ff |
|
VISUAL
colorHash
|
11008000c00 |
|
VISUAL
cropResistant
|
508081303800a080,1c5452d0f0fc3c33 |
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.