Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C235A726732B4B843DB91EEF7382D46B2C29889F8C74554B5C55ACE23C3C912297BB4 |
|
CONTENT
ssdeep
|
768:ax+EsZx8/G8aT4zDawYMYBuw9MYBHqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAzT:ax+EsZ/8a8zDawYMYBuw9MYBKN2/y9dG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e64e1b694e3632cc |
|
VISUAL
aHash
|
00ffe7e7f3c3c3ff |
|
VISUAL
dHash
|
452b2f2d268e0e23 |
|
VISUAL
wHash
|
00d38387f3c3c3db |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
452b2f2d268e0e23,012296c6e6964601,8782988484f0b095,3156959c8c945631 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.