Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121A3DD274219352B4437C2C1346A5B7BD1A6998FFAE60A014EDCCBF72BF9C90742B25D |
|
CONTENT
ssdeep
|
768:pVPtpR4nXF6YjOpSpFlTC6rrWuGFeOo4GgBWxgggC1Y2:pxtpR4nXBKpSpFl26vOFeN4EWO62 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92076d13d30f6d2d |
|
VISUAL
aHash
|
000f073e6e0f01f7 |
|
VISUAL
dHash
|
dcbd7cfcdcf8b30f |
|
VISUAL
wHash
|
000f037f7f0f01f7 |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fc3ffcdcdcb9f307,dcbd77fcdcdcb367,d44b49d24f466634,472105170e3c3424,d8100c3232080001 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.