Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121F11035D156F836A08BD5AEEB3613762268C163D20E0648B5FCC34C3BEADD6CC2B124 |
|
CONTENT
ssdeep
|
96:TzwoN26hH/lIj10GSOYGSk+RyZKsc4idaRnaOpMo6fAc4u514C7m29CtiHkOZzK/:rJDyzJzJa/UD2fGJyRGoi5z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd929c3c96863c96 |
|
VISUAL
aHash
|
dfc3efe7e781fbff |
|
VISUAL
dHash
|
330fcc4d0f33130f |
|
VISUAL
wHash
|
83010367ff81fbc3 |
|
VISUAL
colorHash
|
07000000198 |
|
VISUAL
cropResistant
|
330fcc4d0f33130f,200471711e69690f |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.