Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109A3DF234159752B4837C3C1306A6B3BE1A6998FFEE709414EECC7FA2AF9C90741A51D |
|
CONTENT
ssdeep
|
1536:j2gGvtpR4nXBKpSpFl26vq01lVjLacAn9FQ:6UMOaQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93176d03d3136d2d |
|
VISUAL
aHash
|
00170f2e6e0f01ff |
|
VISUAL
dHash
|
dcb77cdcdcb9b700 |
|
VISUAL
wHash
|
00070f3f6f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd377cdcdcb9f700,dcbf3edcdcdcb377,4bda4c4f1b5a3232,a7c5594d4652c2cd,4e8f934943464e5a,68000012120c11d4 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)