Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1233333F61146AA2F0083C3E2E728FB1ED3C5D74DC7736E87A6E8832761CADA49D25154 |
|
CONTENT
ssdeep
|
768:HOdEKaye2GapmOVDCFQyJZmWCOqquNLvdEKaye2GapmOVDCFQyJZmWCOqquNLLjX:4NDj0pyeaWkn0xxTAa8X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
961c6d63c3c1d39c |
|
VISUAL
aHash
|
00003e7e7e7e0000 |
|
VISUAL
dHash
|
cb2b7cdccccc334c |
|
VISUAL
wHash
|
00007e7e7e7e81e7 |
|
VISUAL
colorHash
|
07046000000 |
|
VISUAL
cropResistant
|
f2ee8cae98b68c8c,010084304c4d300a,d12b34ccd4cccc33,921697b114b6ca12,452549d5e5710145 |
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.
Pages with identical visual appearance (based on perceptual hash)