PYSA Analysis

IOB - Indicator of Behavior (1000)

Timeline

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Lang

en	998
zh	2

Country

us	8
de	2

Actors

PYSA	4
B1txor20	2
Prophet Spider	2
MedusaLocker	1
REvil	1

Activities

Interest

Timeline

Type

Not Defined	306
WordPress Plugin	34
Operating System	32
Web Browser	28
Network Management Software	26

Vendor

Not Defined	202
Google	30
Insteon	26
Microsoft	20
Oracle	12

Product

Insteon Hub	26
Google Chrome	24
Microsoft Windows	12
Juniper Junos OS	10
Multics	8

Vulnerabilities

#	Vulnerability	Base	Temp	0day	Today	Exp	Rem	CTI	EPSS	CVE
1	Centos Panel 7 HTTP Request index.php Remote Code Execution	6.3	6.0	$0-$5k	$0-$5k	High	Official Fix	0.32	0.30745	CVE-2022-44877
2	EXFO BV-10 Performance Endpoint Unit improper authentication	9.8	9.8	$0-$5k	$0-$5k	Not Defined	Not Defined	0.00	0.00885	CVE-2022-39184
3	Linksys WUMC710 httpd setNTP.cgi do_setNTP os command injection	7.2	7.2	$0-$5k	$0-$5k	Not Defined	Not Defined	0.26	0.00890	CVE-2022-43971
4	Linksys WRT54GL httpd apply.cgi Check_TSSI os command injection	7.2	7.2	$0-$5k	$0-$5k	Not Defined	Not Defined	0.26	0.02199	CVE-2022-43973
5	SAUTER Controls Nova 200/Nova 220/BACnetstac missing authentication	9.8	9.8	$0-$5k	$0-$5k	Not Defined	Unavailable	0.03	0.01086	CVE-2023-0052
6	Linksys WRT54GL upnp soap_action null pointer dereference	6.5	6.4	$0-$5k	$0-$5k	Not Defined	Not Defined	0.19	0.00954	CVE-2022-43972
7	InHand InRouter 302/InRouter 615 MQTT random values	9.9	9.7	$0-$5k	$0-$5k	Not Defined	Official Fix	0.00	0.00885	CVE-2023-22601
8	Linksys WRT54GL httpd apply.cgi Start_EPI buffer overflow	7.2	7.2	$0-$5k	$0-$5k	Not Defined	Not Defined	0.35	0.00890	CVE-2022-43970
9	EXFO BV-10 Performance Endpoint Unit hard-coded credentials	9.8	9.8	$0-$5k	$0-$5k	Not Defined	Not Defined	0.00	0.00885	CVE-2022-39185
10	SAP Bank Account Management Manage Banks information disclosure	3.2	3.2	$5k-$25k	$0-$5k	Not Defined	Official Fix	0.08	0.00885	CVE-2023-0023
11	InHand InRouter 302/InRouter 615 access control	9.9	9.7	$0-$5k	$0-$5k	Not Defined	Official Fix	0.00	0.00885	CVE-2023-22600
12	Nuxeo REST API cross site scripting	4.4	4.4	$0-$5k	$0-$5k	Not Defined	Not Defined	0.00	0.01689	CVE-2021-32828
13	Google Chrome Cart use after free	6.3	6.0	$25k-$100k	$5k-$25k	Not Defined	Official Fix	0.00	0.00885	CVE-2023-0134
14	SourceCodester Theme Park Ticketing System manage_user.php information disclosure	4.3	4.2	$0-$5k	$0-$5k	Not Defined	Not Defined	0.00	0.01055	CVE-2022-40049
15	Daimler Mercedes XENTRY Retail Data Storage API Request reboot denial of service	5.3	4.8	$0-$5k	$0-$5k	Proof-of-Concept	Not Defined	0.00	0.01055	CVE-2023-23590
16	Google Chrome permission	6.3	6.0	$25k-$100k	$5k-$25k	Not Defined	Official Fix	0.03	0.01055	CVE-2023-0133
17	Google Chrome Network Service heap-based overflow	6.3	6.0	$25k-$100k	$5k-$25k	Not Defined	Official Fix	0.00	0.00885	CVE-2023-0129
18	Multi Step Form Plugin cross site scripting	2.4	2.3	$0-$5k	$0-$5k	Not Defined	Official Fix	0.00	0.00885	CVE-2022-4196
19	SAP NetWeaver AS for Java access control	8.3	8.2	$5k-$25k	$0-$5k	Not Defined	Official Fix	0.06	0.00885	CVE-2023-0017
20	SourceCodester Online Food Ordering System view_prod.php sql injection	6.3	5.7	$0-$5k	$0-$5k	Proof-of-Concept	Not Defined	1.28	0.05372	CVE-2023-0303

IOC - Indicator of Compromise (12)

These indicators of compromise highlight associated network ressources which are known to be part of research and attack activities.

ID	IP address	Hostname	Actor	Type	Confidence
1	23.129.64.190		PYSA	verified	High
2	45.147.231.210		PYSA	verified	High
3	185.220.100.240	tor-exit-13.zbau.f3netze.de	PYSA	verified	High
4	XXX.XX.XXX.XX	xxxxx.xxxx.xxxxxx	Xxxx	verified	High
5	XXX.XX.XXX.XXX		Xxxx	verified	High
6	XXX.XX.XXX.XXX		Xxxx	verified	High
7	XXX.XX.XXX.XXX		Xxxx	verified	High
8	XXX.XX.XXX.XXX	xxx.xxxxxxx.xxx	Xxxx	verified	High
9	XXX.XX.XXX.XXX	xxxxx.xxxxxx-xx-xxxx.xxx	Xxxx	verified	High
10	XXX.XX.XXX.XXX		Xxxx	verified	High
11	XXX.XX.XXX.XX	xxxxxxx.xx	Xxxx	verified	High
12	XXX.XX.XXX.X	xxxx.xxx.xxxxxxxxx.xx	Xxxx	verified	High

TTP - Tactics, Techniques, Procedures (27)

Tactics, techniques, and procedures summarize the suspected MITRE ATT&CK techniques used. This data is unique as it uses our predictive model for actor profiling.

ID	Technique	Vulnerabilities	Access Vector	Type	Confidence
1	T1006	CWE-22, CWE-29, CWE-35	Pathname Traversal	predictive	High
2	T1040	CWE-319	Authentication Bypass by Capture-replay	predictive	High
3	T1055	CWE-74	Injection	predictive	High
4	T1059	CWE-94	Cross Site Scripting	predictive	High
5	T1059.007	CWE-79	Cross Site Scripting	predictive	High
6	T1068	CWE-264, CWE-269, CWE-284	Execution with Unnecessary Privileges	predictive	High
7	TXXXX.XXX	CWE-XXX	Xxx Xx Xxxx-xxxxx Xxxxxxxx	predictive	High
8	TXXXX	CWE-XXX	Xxxx Xxx Xxxxxxxxx Xxxxxxxxxxx Xxxxxxxx	predictive	High
9	TXXXX.XXX	CWE-XXX	Xxxxxxxx Xxxxxxxxxxx Xx Xxxxxxxxx Xxxxxxxxxxxxxx Xxxxxxxx	predictive	High
10	TXXXX.XXX	CWE-XXX	Xxx-xxx Xxxx Xxxxxxx Xxxx	predictive	High
11	TXXXX	CWE-XX, CWE-XX	Xxxxxxx Xxxxxxxxx	predictive	High
12	TXXXX.XXX	CWE-XXX	Xxxx Xxxxxxxx	predictive	High
13	TXXXX	CWE-XXX	7xx Xxxxxxxx Xxxxxxxx	predictive	High
14	TXXXX	CWE-XXX, CWE-XXX	Xxxxxxxxxx Xxxxxx	predictive	High
15	TXXXX.XXX	CWE-XXXX	Xxxxxxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxxxx	predictive	High
16	TXXXX	CWE-XX	Xxx Xxxxxxxxx	predictive	High
17	TXXXX.XXX	CWE-XXX	Xxxxxxxx Xxxxxxxxxxxxx	predictive	High
18	TXXXX	CWE-XXX, CWE-XXX, CWE-XXX, CWE-XXX	Xxx.xxx Xxxxxxxxxxxxxxxx: Xxxxxxxx Xx Xxxxxxxxxxxxx Xxxx	predictive	High
19	TXXXX	CWE-XXX	Xxxxxxxxx Xxxxxxx Xx Xxxxxxxxx Xxxxxxxxxxx	predictive	High
20	TXXXX	CWE-XXX	Xxxxxxxxx Xxxxxx Xxxx	predictive	High
21	TXXXX.XXX	CWE-XXX	Xxxxxxxx Xxxxxx Xxxx	predictive	High
22	TXXXX.XXX	CWE-XXX	Xxxxxxxx Xxxxxxxxxxx Xxxxxxxxxx	predictive	High
23	TXXXX.XXX	CWE-XXX	Xxxxxxxx	predictive	High
24	TXXXX	CWE-XXX, CWE-XXX, CWE-XXX, CWE-XXX, CWE-XXX	Xxxxxxxxxxxxx	predictive	High
25	TXXXX	CWE-XXX, CWE-XXX	X2xx Xxxxxxxxxxxxxxxx: Xxxx Xxxxxxxxxxxx Xxxxxxx Xxxxxxxxxx	predictive	High
26	TXXXX.XXX	CWE-XXX	Xxxxxxxxxxxx Xxxxxx	predictive	High
27	TXXXX	CWE-XXX	Xxxxxxxxxxx Xxxxxx	predictive	High

IOA - Indicator of Attack (212)

These indicators of attack list the potential fragments used for technical activities like reconnaissance, exploitation, privilege escalation, and exfiltration. This data is unique as it uses our predictive model for actor profiling.

ID	Class	Indicator	Type	Confidence
1	File	/admin/ajax.php?action=delete_transaction	predictive	High
2	File	/admin/ajax.php?action=delete_user	predictive	High
3	File	/admin/ajax.php?action=save_window	predictive	High
4	File	/admin/manage_user.php	predictive	High
5	File	/app/dao/CustomerDAO.php	predictive	High
6	File	/apply.cgi	predictive	Medium
7	File	/apps/app_user/sys_user.php	predictive	High
8	File	/config/api/v1/reboot	predictive	High
9	File	/data/app	predictive	Medium
10	File	/etc/shadow	predictive	Medium
11	File	/food	predictive	Low
12	File	/forum/away.php	predictive	High
13	File	/hss/classes/Users.php?f=delete	predictive	High
14	File	/index/user/user_edit.html	predictive	High
15	File	/login/index.php	predictive	High
16	File	/opt/Citrix/ICAClient/util/ctxwebhelper	predictive	High
17	File	/rest/api/2/user/picker	predictive	High
18	File	/setNTP.cgi	predictive	Medium
19	File	/tpts/manage_user.php	predictive	High
20	File	/usr/etc/restore0.9	predictive	High
21	File	/VerAyari	predictive	Medium
22	File	adclick.php	predictive	Medium
23	File	AddAppNetworksFragment.java	predictive	High
24	File	add_contestant.php	predictive	High
25	File	admin/import/class-import-settings.php	predictive	High
26	File	xxxxx/xxxxxx_xxxx.xxx	predictive	High
27	File	xxxxx/xxxx-xxxxx.xxx	predictive	High
28	File	xxxxx_xxxxx.xxx	predictive	High
29	File	xxxxxxxx.xxx	predictive	Medium
30	File	xxx/xxxxxxxxxx/xxxxxxxxxxxxxxxxxx.xxx	predictive	High
31	File	xxx/xxxxxxxxxxx/xxxx_xxxxxx_xxxxxxxxxx.xxx	predictive	High
32	File	xxx/xxxxxxxxxxx/xxxxxxxx/xxxxxxxxx_xxxxxxxxxx.xx	predictive	High
33	File	xxx/xxxxxxxxxxx/xxxxx_xxxxxxxxxx.xx	predictive	High
34	File	xxx/xxxxxxx.xxx	predictive	High
35	File	xxxxxxxxxxx/xxxxxxxxxxx/xxxxxxx.xxx	predictive	High
36	File	xxxxx.xxx	predictive	Medium
37	File	xxx\xxxxxx\xxxxxxxxxx\xxxxxxxxxxxxxxxxx.xxxxx.xxx	predictive	High
38	File	xxx/xxxxxxx.x	predictive	High
39	File	xxxx.xxx.xxx	predictive	Medium
40	File	xxxxxxx/xxxx/xxxxx.xxxxx.xxx	predictive	High
41	File	xxxxxxxxxx.xxxx	predictive	High
42	File	xxxx_xxx.xx	predictive	Medium
43	File	xxxxxx-xxxxxxxx.xxx	predictive	High
44	File	xxxxxx/xxxx/xxxxxxxxxxxx/xxxxxxxxx/xxxxxxxxxxxxx.xxx	predictive	High
45	File	xxx/xxxxxxx/xxxxxxx	predictive	High
46	File	xxxxxxx/xxxxxx.xxx	predictive	High
47	File	xxxxx.xxx	predictive	Medium
48	File	xxx	predictive	Low
49	File	xxxxxx/xxx.x	predictive	Medium
50	File	xxxxxx/xxxxxxxxxxxx/xxx_xxxxxxxxx_xxxxxxxx_x_x.xx	predictive	High
51	File	xxxxxxxxxxxxx.xxx	predictive	High
52	File	xxxx/xx-xxxxxxx.xxx	predictive	High
53	File	xx/xxx/xxxxxxxxxx.xx	predictive	High
54	File	xxx_xxxx/xxxxxx_xxxx/xxxxxxxx/xxx.xxx	predictive	High
55	File	xxxxxxx/xxx/xxxxxxxx/xxxxx_xxxx.x	predictive	High
56	File	xxxxx.xxx	predictive	Medium
57	File	xxx/xxxx_xxxx	predictive	High
58	File	xxxxxxx-xxxx.xxx	predictive	High
59	File	xxx	predictive	Low
60	File	xx/xxxxxxx/xxxxxx.x	predictive	High
61	File	xxx/xxxxxx_xxx.x	predictive	High
62	File	xxxxxxxxx/xxxx.xxx	predictive	High
63	File	xxxx.xxx	predictive	Medium
64	File	xxxxxx/xxxxxxxxxxxxxx/xxxxx/xxxxxxx/xxxxxx.xx	predictive	High
65	File	xxxxxxxxx.xx	predictive	Medium
66	File	xxxxxxxxxxxxx/xxx/xxx/xxxxxxxxxx/xxxxxxx/xxxxxxxxxx.xxxx	predictive	High
67	File	xxxxxx.xxx	predictive	Medium
68	File	xxxx-xxxxxx.xx	predictive	High
69	File	xxx/xxxxxx.xxx	predictive	High
70	File	xxx/xxxxx.xxx	predictive	High
71	File	xxxxx.xx	predictive	Medium
72	File	xxxxx.xxx	predictive	Medium
73	File	xxxx_xxxxxxx.xxx	predictive	High
74	File	xxxxxxx/xxx/xxx/xxxxxxxxx/xxxxxx/xxxxxxxxxxxxx.xxxx	predictive	High
75	File	xx/xxxxxxxxxxx.xx	predictive	High
76	File	xxxxx_xxxxx.xxx	predictive	High
77	File	xxxxxx/xxxx/xxxxxxxxxxxxxx.xxx	predictive	High
78	File	xxxx_xxx.x	predictive	Medium
79	File	xxxxxx_xxxx_xxxxxxx.xxx	predictive	High
80	File	xxx/xxxxxx_xxx/xxxxxx_xxxx/xxxxxxx.xx	predictive	High
81	File	xxx/xxxxxxxx.xx	predictive	High
82	File	xxx/xxxxxxx/xxxx/xxxxxxx_xxxx.xx	predictive	High
83	File	xxx/xxxxxxx/xxxxxx.xx	predictive	High
84	File	xxx/xxxxxxx.xx	predictive	High
85	File	xxxxxxxxxxx/xxxxxx.x	predictive	High
86	File	xxx/xxxx/xxxx/xxxxxx/xxxx.xxx	predictive	High
87	File	xxxxxxx/xxxxxx/xxx/xxxxx/xxxxxx/xxxxxxx.xxxx	predictive	High
88	File	xxxxxxx/xxxxxxxxxxxxxx/xxxxxxxxxx/xxxxx/xxxxx.xx	predictive	High
89	File	xxx_xxx/__xxxx__.xx	predictive	High
90	File	xxxxxxxxxxxxxxx_xxxxxxxx.xxx	predictive	High
91	File	xxxxxxx.x	predictive	Medium
92	File	xxxxxxxxxx.xx	predictive	High
93	File	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx.xxxx	predictive	High
94	File	xxxxxxxx.xxxx/xxxxxxx/xxxxxxxxxxxxxxxxxx.xx	predictive	High
95	File	xxxxxxxx/xxxxxx-xxxxx/xxxxxxxxxxx/xxxx.xx	predictive	High
96	File	xxxxxxxxxxxxxxxxx.xxxx	predictive	High
97	File	xxxx/xxxxxxx/xxxxxxxx.xxx	predictive	High
98	File	xxxxxxxxxxx.xx	predictive	High
99	File	xxxxxxx/xxxxxx/xx.xxxxx/xxxxxxxx.xx	predictive	High
100	File	xxxxxxx.x	predictive	Medium
101	File	xxxxxxx.xxx	predictive	Medium
102	File	xxxxxxx.xxx	predictive	Medium
103	File	xxxxxxxxxx/xxxxxxxx.xx	predictive	High
104	File	xxxxxx_xxxx/xxx_xxxxxxx/xxx_xxxxxxx_xxx.xxx	predictive	High
105	File	xxxxxxxx-xxxx/xxxxxxxx/xxxxx.xx	predictive	High
106	File	xxxxxxx.xxx	predictive	Medium
107	File	xxxxxx_xxxxxx.xxx	predictive	High
108	File	xxxxxx/xxxx.xx	predictive	High
109	File	xxxxxxxxxx_xxxx	predictive	High
110	File	xxxxxxx/xxxxxx.xx	predictive	High
111	File	xxxxxx.xx	predictive	Medium
112	File	xxxxxx.xxx	predictive	Medium
113	File	xxxxxxxxx.xxx	predictive	High
114	File	xxxxxx_xxxx.xxx	predictive	High
115	File	xxx/xxxxxxxxxx.xxx	predictive	High
116	File	xxx/xxxxxxxx.xx	predictive	High
117	File	xxx/xxxx/xx/xxx/xxxxxxxx/xxx/xxxxxxxxxx.xxxx	predictive	High
118	File	xxx/xxxx/xxxx/xx/xxxxxxx/xxxxxxx/xxxxxxxxxxxxxx.xxxx	predictive	High
119	File	xxx/xxxxx/xxxxx.xxx	predictive	High
120	File	xxxxxxxxxxxxxxxxxxxxx/xxxxxxxxxxxxxxx.xx	predictive	High
121	File	xxxxxxxxx/xxxxxxxx.xxx	predictive	High
122	File	xxxxxxxxx/xxxxx.xxx.xxx	predictive	High
123	File	xxxx.xxxx	predictive	Medium
124	File	xxxxx.xxx	predictive	Medium
125	File	xxx/xxxx/xxxx	predictive	High
126	File	xxxx_xxxx.xxx	predictive	High
127	File	xxxxxxx/xxx/xxxxxx/xxxxxxxxxxxxxx.xxxx	predictive	High
128	File	xx.xxx	predictive	Low
129	File	xxxxxxxxxxxxxxx.xxxx	predictive	High
130	File	xxxxxxxxxxxx/xxx.xxx	predictive	High
131	File	xxxxxxxxxxx.xxxx	predictive	High
132	File	xxxxxxxx/xxxxxx/xxxxxxxxx/xxxxxxx/xxxxxxxxx/xx/xxxxxxxxxxxxxxx.xx	predictive	High
133	File	\xxx\xxxxxx\xxxxxxxxxx\xxxxxxxxxxxxxx.xxxxx.xxx	predictive	High
134	File	_xxxxx.xxx	predictive	Medium
135	File	~/xxx_xxxx/	predictive	Medium
136	Library	/xxxxxxxxxxxxx/xxx/xxxxx.xxx/xxxxxxxxxxx	predictive	High
137	Library	/xxx/xxx/xxxx/x.xxx	predictive	High
138	Library	xxxxx.xxx	predictive	Medium
139	Library	xxxxx/xxxx/xxx_xxxxx/xxxx/xxxxx_xxxx.xxx	predictive	High
140	Library	xxxx.xxx	predictive	Medium
141	Library	xxx/xxxxxxxxxx/xxxxx/xxxxxx.xxx	predictive	High
142	Library	xxxxxxxxxx	predictive	Medium
143	Library	xxxxxxx/xxxxxxxx.xxx	predictive	High
144	Library	xxxxxxxx.xxx	predictive	Medium
145	Library	xxx/xxxxxxx.xxxxxx.xxx/xxx/xxxxxxxxxxxxx.xx	predictive	High
146	Library	xxxxxx.xxx	predictive	Medium
147	Argument	$_xxx['xxx']/$_xxx['xxxx'].	predictive	High
148	Argument	$_xxxx['xxxx']/$_xxxx[xxxxx]	predictive	High
149	Argument	-xxxxx-xxxx	predictive	Medium
150	Argument	-x	predictive	Low
151	Argument	xxx_xxxxxxxxxx	predictive	High
152	Argument	xxxxxxxxx	predictive	Medium
153	Argument	xxxxxxxx	predictive	Medium
154	Argument	xxxxxxx	predictive	Low
155	Argument	xxxxxxxxxx	predictive	Medium
156	Argument	xxxxxx	predictive	Low
157	Argument	xxxx	predictive	Low
158	Argument	xxxxx	predictive	Low
159	Argument	xxxxx	predictive	Low
160	Argument	xxxxxxxx	predictive	Medium
161	Argument	xxxxxxxxx/xxxxxxxx	predictive	High
162	Argument	xxxxxxxx	predictive	Medium
163	Argument	xxxxxxxxxx	predictive	Medium
164	Argument	xx	predictive	Low
165	Argument	xxxxxxxxxx	predictive	Medium
166	Argument	xxxxxxxxxxxxxx	predictive	High
167	Argument	xxxxx	predictive	Low
168	Argument	xxxxxx	predictive	Low
169	Argument	xxxxxxx	predictive	Low
170	Argument	xxxxxxx/xxxxxxxxxxxx	predictive	High
171	Argument	xxxxxxxx	predictive	Medium
172	Argument	xxxx	predictive	Low
173	Argument	xxxxx/xxxxx_xxxxxxxx/xxxx	predictive	High
174	Argument	xxxx xxxxx	predictive	Medium
175	Argument	xxxx	predictive	Low
176	Argument	xxxx	predictive	Low
177	Argument	xxxxxxxx	predictive	Medium
178	Argument	xxxx_xxxx	predictive	Medium
179	Argument	xxxxxxx	predictive	Low
180	Argument	xxx	predictive	Low
181	Argument	xxxxxxxxxxxx	predictive	Medium
182	Argument	xxxxxxxxxxxxxxxxx	predictive	High
183	Argument	xxx	predictive	Low
184	Argument	xxxxxxxxx	predictive	Medium
185	Argument	xxxx_xxxxxx	predictive	Medium
186	Argument	xxx	predictive	Low
187	Argument	xxxxxxxxxxxxxx	predictive	High
188	Argument	xxx	predictive	Low
189	Argument	xxxxxxxxxxxx	predictive	Medium
190	Argument	xxxxxxx	predictive	Low
191	Argument	xxx	predictive	Low
192	Argument	xxxxxxxxxxx/xxxxxxxxxxxxxxxxxxx	predictive	High
193	Argument	xxxxxxxx_xx	predictive	Medium
194	Argument	xxx_xxxxxxxx_xx	predictive	High
195	Argument	xxxx_xxxxxx/xxxxxx/xxxxxx	predictive	High
196	Argument	xxxxxx/xxxxxxxxx/xxxxxxx	predictive	High
197	Argument	xxxxxxx	predictive	Low
198	Argument	xxxx	predictive	Low
199	Argument	xxx	predictive	Low
200	Argument	xxxxxxxxx	predictive	Medium
201	Argument	xxx	predictive	Low
202	Argument	xxx	predictive	Low
203	Argument	xxxx/xxxx	predictive	Medium
204	Argument	xxxxxxxx	predictive	Medium
205	Argument	xxxxxxxx/xxxxxxxx	predictive	High
206	Argument	xxxxxxxx/xxxxxxxx/xxxxx_xxxx/xxxx_xxxx/xxxxxxx/xxxxx	predictive	High
207	Argument	xxxxx	predictive	Low
208	Argument	xxxx	predictive	Low
209	Argument	_xxxxx	predictive	Low
210	Input Value	%xxxxxxxx%xxxxxxx(x)%xx/xxxxxx%xx	predictive	High
211	Input Value	%xx%xx%xx;xxxxxxx%xx%xx;/*	predictive	High
212	Network Port	xxxx	predictive	Low

References (3)

The following list contains external sources which discuss the actor and the associated activities:

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