Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107429433B600CD2A4D9B55CCF5C49689516EC346FB3108CAA2B491BF7BC4DF02AA939D |
|
CONTENT
ssdeep
|
192:lc3NVpYU5x+dHj8DBKxe5eTT5McnthWeNWbIo22yWKBsfMmUU8VCoCV:MxiHjK5eTT3olyWKBsfMmUFCoCV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc65676838676598 |
|
VISUAL
aHash
|
c3f7ffd7dfc3e3ff |
|
VISUAL
dHash
|
062e0ebeb00e4e00 |
|
VISUAL
wHash
|
81c3c3c3cf81c1fe |
|
VISUAL
colorHash
|
070010100c0 |
|
VISUAL
cropResistant
|
062e0ebeb00e4e00,2529222323526462,3adc3d97c9641a33 |
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)