Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7832A94E141751751B384DEF0BBAA06B3BD810A740E0AF4F768C6EEB8DC85C61A77C9 |
|
CONTENT
ssdeep
|
1536:IXIIPCUm5KVNckMiSp0syqU0nENCYXN9zQ2N0msQw:IYIKUcKVNRJSplGhVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b9a9330e564e56c |
|
VISUAL
aHash
|
7e3c3c00000000ff |
|
VISUAL
dHash
|
cc6961c20e0245ca |
|
VISUAL
wHash
|
ff3c3c7c000070ff |
|
VISUAL
colorHash
|
38002200001 |
|
VISUAL
cropResistant
|
e48c3c72ce6726c6,cc6961c20e0245ca |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)