Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FED2417203D6EE23950487DCD652630AD7CB635DEEA7CD4292A50ECA1C1EDA6FD0132E |
|
CONTENT
ssdeep
|
384:0SHubXbT9JxSoccFmlijP9cpDJTASVp6at0MV0D:obXsiLmZXV0D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba846718c6c7799c |
|
VISUAL
aHash
|
ffefcfff9f81c381 |
|
VISUAL
dHash
|
2c8a9ac43b2b0f0f |
|
VISUAL
wHash
|
ffc3c3ff8d808081 |
|
VISUAL
colorHash
|
07600000240 |
|
VISUAL
cropResistant
|
2c8a9ac43b2b0f0f,9d1e26c3a3b1c1e3,0c0c61d161618303,63cf4f9fdddddddc,056d6d8d6faf87ce |
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 7788 techniques to evade detection by security scanners and make reverse engineering more difficult.