Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DA35933411935274437C6D130A55B3BD2A6DA9FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:d7Lz4NP/y9svbliCdkaZy5H1jScFtiuCa28y2O9:FmATy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d26cfc38b823f312 |
|
VISUAL
aHash
|
00306400000024ff |
|
VISUAL
dHash
|
9cc4ccccecccccc8 |
|
VISUAL
wHash
|
00fefe74042464ff |
|
VISUAL
colorHash
|
32000680200 |
|
VISUAL
cropResistant
|
808001303000a080,9cc4cccceccccccc |
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.