Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F324133A600DD2A8DA755C8F2C09989111AD345FB314CCAB2A091FF7BC5DF069A97DD |
|
CONTENT
ssdeep
|
192:JrkodbY1MqCMGxWtbx1C6vXMcnthWeNWb4fMmUU8VCo44:zbY1Mbkd7vrfMmUFCo44 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0f00d0f0f170f1f |
|
VISUAL
aHash
|
c2c2c6c6c40c0c08 |
|
VISUAL
dHash
|
9696949c9c78f8f1 |
|
VISUAL
wHash
|
c2c2eeeece0e0c1d |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
ffeaf6ecd830c080,6a6062f2805171c0,8d8d8f8b9a7efcec,d8d8b0a060c08003 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.