Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160E388E08C1F257E50B7B9819A98E6A5B3F29140CE8B194D57F8E3BDCB46F019DF1218 |
|
CONTENT
ssdeep
|
1536:T1eC6jM809NTZXYu7ekBDDvldC3VJTiNeLXoeEtyGlrRo0E2q7BBhoeIRLkh+QOW:TNqG9xZM26V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac3c93456e16476d |
|
VISUAL
aHash
|
00cf8183d3f7ffff |
|
VISUAL
dHash
|
263a2b2727060e2b |
|
VISUAL
wHash
|
0087818391e7ffaf |
|
VISUAL
colorHash
|
072000001c0 |
|
VISUAL
cropResistant
|
263a2b2727060e2b,0001010117160501,00083032b2108851,88a4b49de7e58396 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.