Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF832AA83949B5271AB343A710DF11037378122B580D4D707254FE9EA6FDC9AB06BFDA |
|
CONTENT
ssdeep
|
1536:eQNjH45I0ClUuRNka2wblHbJLwLIz9GguGOjjRnY:e2xrX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212e96ded75c44c |
|
VISUAL
aHash
|
000e3e2e1c1800ff |
|
VISUAL
dHash
|
ddcccccc6c616263 |
|
VISUAL
wHash
|
002f3e3e3e3810ff |
|
VISUAL
colorHash
|
32c00000000 |
|
VISUAL
cropResistant
|
8686ceb29eb2aa8e,6300200000000000,dddccccc6c616262 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)