Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C4133729000A02B53A7F1C1BA393B47A6E681C6C343057563F9D77C2DCAC2BE87D829 |
|
CONTENT
ssdeep
|
48:TGqd67scIwca7nph5I7Uf57F5fNgNi7idkjw7iFDP7jgYRH:TGU6SwRbRIYf5z6k8kEW5RRH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6194c7166594cf3 |
|
VISUAL
aHash
|
00ffffffe7ffff00 |
|
VISUAL
dHash
|
d400280c0c080020 |
|
VISUAL
wHash
|
00cfc7c72727ff00 |
|
VISUAL
colorHash
|
06000e00000 |
|
VISUAL
cropResistant
|
d400880c0c080000,0834323230d02bd4,000018a4a0b22410 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)