Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC53537251817A3B109343D18B25A3AFE3C2D689D7515997EBECC32E72C7DE4EC2A124 |
|
CONTENT
ssdeep
|
1536:x03MUNcIzWu262Q68c6Qy6h/6Iu7lxm/r8BdDVmc3ich:GcUPzp262Q68c6Qy6h/6Izqh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
968c38e3c3c9c3d9 |
|
VISUAL
aHash
|
00003e7e7e6e0000 |
|
VISUAL
dHash
|
6934eccccccc3334 |
|
VISUAL
wHash
|
3d0c7e7e7f7e0000 |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
6934eccccccc3334,78470b4e59b1b6b4,0f0f0f174323138b,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)