Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B2235BB26722B8A843DB91EEF7383D56B2D1489DF8C74410B5C95ACD23C3C916297BB4 |
|
CONTENT
ssdeep
|
768:ak+EsZx8/G844uDawMMhBowQMhBBwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAZ:ak+EsZ/8ruDawMMhBowQMhBBwcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be2b6fc49090666b |
|
VISUAL
aHash
|
810001ffffffffff |
|
VISUAL
dHash
|
717169373f232b23 |
|
VISUAL
wHash
|
000000df83fffff3 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
717169373f232b23,7cd7965696925a52,da5f73f16969e81b |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.