Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13EA37933411935274437C6D530A55B3BE2E69D4FFAA70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:pRLz4NP/y9svbliCdgJfCSNFtiuCa28y2O9:zmA1+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3478532bd29b469 |
|
VISUAL
aHash
|
00200000000478ff |
|
VISUAL
dHash
|
dcc8c0c8ccccc3c8 |
|
VISUAL
wHash
|
06743060640effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
000080015c5880a0,dcc8c0c0c8ccccc3 |
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.