Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD3385B21146AA3F014342E2975CF62EE3C9D70DCB639E87A6E8C33751CADE4DE25164 |
|
CONTENT
ssdeep
|
768:budSkGSsEsmJcI1NALQyPtySIMMK6ttLdSkGSsEsmJcI1NALQyPtySIMMK6tt1Cs:WPTC0pyeaWA40xxTAa8/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
961c6d63c3c1d39c |
|
VISUAL
aHash
|
00003e7e7e7e0000 |
|
VISUAL
dHash
|
cb277cdccccc334c |
|
VISUAL
wHash
|
00007e7e7e7e81e7 |
|
VISUAL
colorHash
|
07086000000 |
|
VISUAL
cropResistant
|
e2ee8cae98b68c8c,010084304c4d300a,d32e34ccd4cccc33,9415973314a2ca32,452549d5e5710145 |
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)