Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182B10E779014C42B6EB7D24DEAC1F98D5297D25BFA3058C2B1C4A06F6BC0EF495A3329 |
|
CONTENT
ssdeep
|
96:5/sLcnhCgC4IR1sqxeDfMmORR1E8VConFq16E4XMqPl:edJrxeDfMmUU8VCox7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e969969669690f61 |
|
VISUAL
aHash
|
fff99989b93bffff |
|
VISUAL
dHash
|
44c3333373629542 |
|
VISUAL
wHash
|
3ff001018103ffff |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
44c3333373629542,630783e975370f4c |
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.