Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1305195507140A97FD0129BD8D7EAD72F2EAAC128CE07151052EDA3ED4BCBC45DE38A81 |
|
CONTENT
ssdeep
|
48:jupyEZc0j7636u/F5eomphvOoB0UQ+PMQM:juYEZce763ZTPgvOM0BAM/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3d966cccc268c32 |
|
VISUAL
aHash
|
ffe7e7efffffe7e7 |
|
VISUAL
dHash
|
084c4c1818b24d4c |
|
VISUAL
wHash
|
e4e4e4ecece8e0e0 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
084c4c1818b24d4c |
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 277 techniques to evade detection by security scanners and make reverse engineering more difficult.