Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5526433A604DD1A8E9B95CCF2C095C9505DD349FB3148CAB2A091BF3BC5CF169A93AD |
|
CONTENT
ssdeep
|
192:6j3JsdfXnywebLxfDDMcnthWeNWb3r85Xt/awbfMmUU8VCoGq:DvnyLFYr8tt/awbfMmUFCoj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333d9ccf40e0f06 |
|
VISUAL
aHash
|
47c707c7c7ffffff |
|
VISUAL
dHash
|
9c9cdc8d8d603800 |
|
VISUAL
wHash
|
07070707079f0ffe |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
9c9cdc8d8d603800 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)