Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B2A37DF3EAC0FD1285B38063F147B667F278191AF1598650AD89CACBB2D64FA41772D0 |
|
CONTENT
ssdeep
|
768:02T0TQH7YFc5QWyqXxqOgWBmxWkSBZSui6JGoAczsz+bqRd0OjQf+/WVzc+b42NM:0EyixZgxW1E6A2IVrazQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ede992824db236a9 |
|
VISUAL
aHash
|
fbfbc3d3fbfbdf80 |
|
VISUAL
dHash
|
7352321252223f32 |
|
VISUAL
wHash
|
f9fb83c1f1d38300 |
|
VISUAL
colorHash
|
06240008009 |
|
VISUAL
cropResistant
|
7352321252223f32,033139391f593333,0018181818181800 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)