Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A35386B65141763F118383D19B2DA35EA3C6C58DCBA20943EAEC831E72C7DA0EE36575 |
|
CONTENT
ssdeep
|
1536:uzw0bzxNHI0Ev26WQ68c6Qy6h/64ubpxm/r8VdD1mc3i4x:GnPo0Q26WQ68c6Qy6h/64jOx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
968c38e3c3c9c3d9 |
|
VISUAL
aHash
|
00003e7e7e6e0000 |
|
VISUAL
dHash
|
6934ecdccccc3334 |
|
VISUAL
wHash
|
3d0c7e7e7f7e0000 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
6934ecdccccc3334,7c270f4e59b13430,0f0f0f174323138b,b861c51ad89858e0,a2d6572fdd656f49 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)