Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13373427212426A3F128387D19718E359F3C2D609C7A7898A97EC833B77C6DE4DD361A4 |
|
CONTENT
ssdeep
|
1536:EKwfng3Dc700q45r0iCyd0daGn9NJa0el:MhsN9Njel |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e050a6be367cb4d2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8cc983138c33230c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,0343d0f86a363564,b1a66295b1194b4b,38789d9c8c8c8d8f,050238272324030c,848fc9c98b23338f |
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)