Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18EA3DD27421936274437C3C5347A5B3BD1A6999FFAE609000EECC7FA2BFACA0741A55D |
|
CONTENT
ssdeep
|
768:QCHdtpR4nXF6YjOpSpFlTC6rrWwwJifeHyZ4swuLvJ:QC9tpR4nXBKpSpFl26vuJ+SXuLvJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92136d29d3136d2f |
|
VISUAL
aHash
|
00030e2e2e0f01ff |
|
VISUAL
dHash
|
dcb77cdcdcb97700 |
|
VISUAL
wHash
|
00070f3f3f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
bd377cd8dcb97700,dcbf7dfcdcdcb377,96094dc6d55d1a8e,0e472513161c3424,ec114c3232080041 |
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.