Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A85374B192417A3F208343E18724D35EA3E1D64DC7B299D7FAEC831A72C7DA0DD2A564 |
|
CONTENT
ssdeep
|
1536:90bRjN1I4GN262Q68c6Qy6h/6wu7jxm/r8LdDVmc3i+Z:C9R64I262Q68c6Qy6h/6wHEZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
968f38e3c3c9c398 |
|
VISUAL
aHash
|
00003e7e7e6e0000 |
|
VISUAL
dHash
|
4934ecdccccc3338 |
|
VISUAL
wHash
|
3d0c7e7e7f7e0000 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
4934ecdccccc3338,7877031f0f97b0b4,0f0f0f174323138b,9818500161656000,b2d6172ed5656949,0024c55556762410 |
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)