Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C052046A242960723273DCD8E4213E3A6163F34BC4AA920C6EBDE5459FF7CF87919474 |
|
CONTENT
ssdeep
|
192:O9FEcbFouv5KmD5MRejhaGhTIWhf5uv5KYD2MUieKhTIWhaGhfLhBghbBhwShaAI:6R5ueuaieW7efnreSUeOEiPQef |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9974666666999999 |
|
VISUAL
aHash
|
0000181818181800 |
|
VISUAL
dHash
|
4c4cb232b232320c |
|
VISUAL
wHash
|
e4e4fcfc3c3c1c04 |
|
VISUAL
colorHash
|
06200010200 |
|
VISUAL
cropResistant
|
b6a2e370ecf0e042,0020484d4d4c3008,4c4cb232b232320c |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)