Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D26395761282AE3F218382D08B59F35ED3C6D609D7678986E7E8431B23CBDE4ED35164 |
|
CONTENT
ssdeep
|
1536:EpkFE0SL8Dcb/00m6K4N0U0Pi+UrP01Cx8RQ8Jj:vpbPXB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2416d2e96d496bd |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
868bc8d0cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff81e7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4cccc234c4c,968fc9cbc0c8dcd4,4551657171694541,00454d7171414541,61999922d99b8764 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.