Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D02D8D27085CD3761A302CFE6C2D31D93E2C599CBC66AD5E5E50BB849FACF4B101686 |
|
CONTENT
ssdeep
|
96:KC6aly0Il3pfmJj27i/kVDWgCVsXya8t2bSbrllSb:EX1pfx7i/kVDW0OXlSb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c62736473647376 |
|
VISUAL
aHash
|
0018181c1c1c1c1c |
|
VISUAL
dHash
|
f3f3f3f3f3f3f3f3 |
|
VISUAL
wHash
|
183c3c3c3c3c3d3d |
|
VISUAL
colorHash
|
02000400038 |
|
VISUAL
cropResistant
|
8e8e848e8a968c6b,a54aa449922850a1,f3f3f3f3f3f3f3f3 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)