Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3518397E413143D079342F4FA09BA8EE2C5068EC781DF81E8A2407E73ACE9807F01E9 |
|
CONTENT
ssdeep
|
48:OgRFaNDIPS8+F+ueDQiC7BRGtGnDL5FVrN5pviqsEAMZNuON1HAE:OgzaRIPS8w/eUiCVRGtGDLFHpqqsEA94 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9040bf24d5e43fb5 |
|
VISUAL
aHash
|
0000007e4c00ffff |
|
VISUAL
dHash
|
9ea9dbc89c3d1c5f |
|
VISUAL
wHash
|
0200647e7e00ffff |
|
VISUAL
colorHash
|
020020001c0 |
|
VISUAL
cropResistant
|
ae8ccc2a2aaa8cae,5c56b333332b3213,7a9292c9cd9200d8,3430500c1d1b7960,9e8abac9c8d49bbc |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)