Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1238368F040D9996F12E350DB607F16102098FA4EE1B0554BABBC43AA4FDDED77C3916A |
|
CONTENT
ssdeep
|
1536:WTXpAKg1yOsQNXC2uwf9czWIIxlfWXqMDULAJC3BnEU2WxxwSsxiwJvts5u7QV5E:WdAC/gu3T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb14cb963aea9445 |
|
VISUAL
aHash
|
0000000000fffdff |
|
VISUAL
dHash
|
b8c6c683d72b2b2b |
|
VISUAL
wHash
|
0002330103ffffff |
|
VISUAL
colorHash
|
33007000000 |
|
VISUAL
cropResistant
|
46023b2b3b3b4b2b,a00ec6c6c7c78707,f1a1cd41754d5549 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.