TA410 Analysis

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IOB - Indicator of Behavior (265)

Timeline

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Lang

en	230
zh	16
ru	8
fr	4
it	2

Country

us	90
cn	72
ru	10
la	6
hk	6

Actors

Cobalt Strike	14
NetSupportManager RAT	11
TA410	9
Raccoon	9
SideWinder	8

Activities

Interest

Timeline

Type

Not Defined	112
WordPress Plugin	14
Content Management System	12
Firewall Software	12
Router Operating System	10

Vendor

Not Defined	86
Microsoft	18
Computrols	6
Sophos	6
Siemens	6

Product

WordPress	8
Microsoft Windows	8
Computrols CBAS	6
QNAP QTS	6
Siemens SPPA-T3000 Application Server	4

Vulnerabilities

#	Vulnerability	Base	Temp	0day	Today	Exp	Rem	EPSS	CTI	CVE
1	DZCP deV!L`z Clanportal config.php code injection	7.3	6.6	$0-$5k	$0-$5k	Proof-of-Concept	Official Fix	0.00943	0.34	CVE-2010-0966
2	Atmail Remote Code Execution	9.8	9.4	$0-$5k	$0-$5k	Not Defined	Official Fix	0.00251	0.04	CVE-2013-5033
3	WordPress sql injection	6.8	6.7	$5k-$25k	$0-$5k	Not Defined	Official Fix	0.00467	0.07	CVE-2022-21664
4	Palo Alto PAN-OS GlobalProtect Clientless VPN buffer overflow	8.8	8.6	$0-$5k	$0-$5k	Not Defined	Official Fix	0.00112	0.03	CVE-2021-3056
5	VeronaLabs wp-statistics Plugin API Endpoint Blind sql injection	8.5	8.4	$0-$5k	$0-$5k	Not Defined	Official Fix	0.00250	0.00	CVE-2019-13275
6	Thomas R. Pasawicz HyperBook Guestbook Password Database gbconfiguration.dat Hash information disclosure	5.3	5.2	$5k-$25k	Calculating	High	Workaround	0.02016	0.00	CVE-2007-1192
7	Linksys WRT54GL Web Management Interface SysInfo1.htm information disclosure	4.3	4.1	$0-$5k	$0-$5k	Proof-of-Concept	Not Defined	0.00046	0.07	CVE-2024-1406
8	MW WP Form Plugin unrestricted upload	7.3	7.1	$0-$5k	$0-$5k	Not Defined	Not Defined	0.00248	0.04	CVE-2023-6316
9	request-baskets API Request {name} server-side request forgery	6.4	6.4	$0-$5k	$0-$5k	Not Defined	Not Defined	0.08109	0.04	CVE-2023-27163
10	Teclib GLPI unlock_tasks.php sql injection	8.5	8.5	$0-$5k	$0-$5k	Not Defined	Official Fix	0.12149	0.04	CVE-2019-10232
11	Sophos Firewall User Portal/Webadmin improper authentication	8.5	8.5	$0-$5k	$0-$5k	High	Not Defined	0.97434	0.00	CVE-2022-1040
12	CutePHP CuteNews unrestricted upload	7.5	6.8	$0-$5k	$0-$5k	Proof-of-Concept	Not Defined	0.02107	0.08	CVE-2019-11447
13	WordPress Object injection	5.3	5.2	$5k-$25k	$0-$5k	Not Defined	Official Fix	0.00432	0.04	CVE-2022-21663
14	Microsoft Windows Active Directory Domain Services Privilege Escalation	8.8	8.3	$25k-$100k	$0-$5k	High	Official Fix	0.07084	0.05	CVE-2022-26923
15	QNAP QTS Media Library access control	8.5	8.2	$0-$5k	$0-$5k	High	Official Fix	0.01575	0.03	CVE-2017-13067
16	Microsoft Exchange Server ProxyShell Remote Code Execution	9.5	8.7	$25k-$100k	$5k-$25k	High	Official Fix	0.97319	0.07	CVE-2021-34473
17	Microsoft Exchange Server Privilege Escalation	8.8	8.3	$25k-$100k	$0-$5k	High	Official Fix	0.96537	0.04	CVE-2021-42321
18	Bitcoin Core bitcoin-qt wallet.dat Memory inadequate encryption	5.0	5.0	$0-$5k	$0-$5k	Not Defined	Not Defined	0.00236	0.05	CVE-2019-15947
19	OpenSSH Authentication Username information disclosure	5.3	4.8	$5k-$25k	$0-$5k	High	Official Fix	0.10737	0.31	CVE-2016-6210
20	Samurai Build File util.c canonpath out-of-bounds write	6.5	6.5	$0-$5k	$0-$5k	Not Defined	Not Defined	0.00085	0.00	CVE-2019-19795

IOC - Indicator of Compromise (16)

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

ID	IP address	Hostname	Actor	Identified	Type	Confidence
1	5.252.179.227	no-rdns.mivocloud.com	TA410	10/05/2022	verified	High
2	43.254.216.104		TA410	10/05/2022	verified	High
3	43.254.219.153		TA410	10/05/2022	verified	High
4	45.124.115.103	45.124.115.103.static.xtom.hk	TA410	10/05/2022	verified	High
5	XX.XXX.XX.XX		Xxxxx	10/05/2022	verified	High
6	XX.XXX.XXX.XXX	xx-xxx-xxx-xxx.xxxxxxxxx.xxx	Xxxxx	10/05/2022	verified	High
7	XXX.XX.XX.XXX	xxxx.xxxxxxx-xxxxxx.xxx	Xxxxx	02/16/2024	verified	High
8	XXX.XXX.X.XXX		Xxxxx	02/16/2024	verified	High
9	XXX.XXX.X.XX		Xxxxx	10/05/2022	verified	High
10	XXX.XX.XXX.XXX		Xxxxx	10/05/2022	verified	High
11	XXX.XXX.XXX.XX		Xxxxx	10/05/2022	verified	High
12	XXX.XX.XXX.X	xxxxxx-xxx-xx-xxx-x.xxxxxx.xx.xx	Xxxxx	10/05/2022	verified	High
13	XXX.XXX.XX.XX	xxxx.xxxxxxxxxxxxxxx.xxx	Xxxxx	10/05/2022	verified	High
14	XXX.XXX.XX.XX	xx-xxxx.xxxxxxxxx.xxx	Xxxxx	10/05/2022	verified	High
15	XXX.XXX.XXX.XX		Xxxxx	02/16/2024	verified	High
16	XXX.XXX.XXX.XXX		Xxxxx	10/05/2022	verified	High

TTP - Tactics, Techniques, Procedures (16)

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	Class	Vulnerabilities	Access Vector	Type	Confidence
1	T1006	CAPEC-126	CWE-22, CWE-23	Path Traversal	predictive	High
2	T1055	CAPEC-10	CWE-74	Improper Neutralization of Data within XPath Expressions	predictive	High
3	T1059	CAPEC-242	CWE-94	Argument Injection	predictive	High
4	T1059.007	CAPEC-209	CWE-79, CWE-80	Cross Site Scripting	predictive	High
5	TXXXX	CAPEC-122	CWE-XXX, CWE-XXX, CWE-XXX	Xxxxxxxxx Xxxx Xxxxxxxxxxx Xxxxxxxxxx	predictive	High
6	TXXXX.XXX	CAPEC-191	CWE-XXX	Xxxx-xxxxx Xxxxxxxxxxx	predictive	High
7	TXXXX	CAPEC-136	CWE-XX, CWE-XX	Xxxxxxx Xxxxx Xx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxxx	predictive	High
8	TXXXX.XXX	CAPEC-178	CWE-XXX	Xxxx Xxxxxxxx	predictive	High
9	TXXXX	CAPEC-184	CWE-XXX	Xxxxxxxx Xx Xxxx Xxxxxxx Xxxxxxxxx Xxxxx	predictive	High
10	TXXXX	CAPEC-108	CWE-XX, CWE-XX	Xxx Xxxxxxxxx	predictive	High
11	TXXXX.XXX	CAPEC-1	CWE-XXX	Xxxxxxxx Xxxxxxxxxxxxx	predictive	High
12	TXXXX.XXX	CAPEC-459	CWE-XXX	Xxxxxxxx Xxxxxxxxxxx Xxxxxxxxxx	predictive	High
13	TXXXX	CAPEC-116	CWE-XXX	Xxxxxxxxxx Xx Xxxxxxx Xxxxx Xxxxxxx Xxxxxxxxx Xxxxxxxxxxx	predictive	High
14	TXXXX.XXX	CAPEC-	CWE-XX	Xxxxxxxxxxxxx	predictive	High
15	TXXXX	CAPEC-112	CWE-XXX, CWE-XXX	Xxxxxxxxxxxxx Xxxxxx	predictive	High
16	TXXXX.XXX	CAPEC-1	CWE-XXX	Xxxxxxxxxx Xxxxxxxxxxxxxx Xx Xxxxxxxx Xxxx Xxxxxxxxx	predictive	High

IOA - Indicator of Attack (119)

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	/api/baskets/{name}	predictive	High
2	File	/api/RecordingList/DownloadRecord?file=	predictive	High
3	File	/api /v3/auth	predictive	High
4	File	/apply.cgi	predictive	Medium
5	File	/cgi-bin/wlogin.cgi	predictive	High
6	File	/gena.cgi	predictive	Medium
7	File	/MIME/INBOX-MM-1/	predictive	High
8	File	/netflow/jspui/editProfile.jsp	predictive	High
9	File	/php/ping.php	predictive	High
10	File	/rapi/read_url	predictive	High
11	File	/scripts/unlock_tasks.php	predictive	High
12	File	/sec/content/sec_asa_users_local_db_add.html	predictive	High
13	File	/see_more_details.php	predictive	High
14	File	/xxxxxxxx.xxx	predictive	High
15	File	/xxxxxxx_xxxx.xxx	predictive	High
16	File	/xxxxxx/xxxx/xxxxxxx/xxx_xxxxx/xxxxxxxxxx.xxx	predictive	High
17	File	/xx-xxxxx/xxxxx-xxxx.xxx?xx_xxxx=x&xxxxxx_xxxx	predictive	High
18	File	xxxxxxxxxxx/xxxxx/xxxxxxxxxx/xxxxxxxxxxxxxxxx.xxxxx.xxx	predictive	High
19	File	xxxxxxx/xxxx.xxx	predictive	High
20	File	xxxx-xxxx.x	predictive	Medium
21	File	xxxxxx.xxx	predictive	Medium
22	File	xxx-xxx/xxxxx_xxx_xxx	predictive	High
23	File	xxxxxx/xxx.x	predictive	Medium
24	File	xxxxxxxxxxxxxxxxxxxxx.xxxx	predictive	High
25	File	xxxxxxxxx.xxx.xxx	predictive	High
26	File	xxxxx/xxxxx.xxx	predictive	High
27	File	xxxx/xxxxxxxxxxxxxxx.xxx	predictive	High
28	File	xxxx_xxxxx.xxx	predictive	High
29	File	xxxxx.xxx	predictive	Medium
30	File	xxxxxx.xxx	predictive	Medium
31	File	xx/xx-xx.x	predictive	Medium
32	File	xxx/xxxx_xxxx.x	predictive	High
33	File	xxxxxx/xxxxxxxxxxx	predictive	High
34	File	xxxx_xxxxxx.x	predictive	High
35	File	xxxx/xxxxxxx.x	predictive	High
36	File	xxx/xxxxxx.xxx	predictive	High
37	File	xxx/xxxxxxxxxxx/xxxxxxx.xxx	predictive	High
38	File	xxxxxxxx/xxxxx-xxxxxx-xxxx-xxxxxxx.xxx	predictive	High
39	File	xxxxxxxx/xxxxxxxx/xxxxx-xxxxxxxx-xxxxx.xxx	predictive	High
40	File	xxxxx.xxx	predictive	Medium
41	File	xxxxx.xxx?x=xxxxx&x=xxxxx&x=xxxxx	predictive	High
42	File	xxxxx.xxx?xxx=xxxx&xxx=xxxxxxxx	predictive	High
43	File	xxxxxxxxxx.xxx	predictive	High
44	File	xxxxxx_xxxx_xxxxxxx.xxx	predictive	High
45	File	xxxxx.xxx	predictive	Medium
46	File	xxxx/xxxxxxxxx/xxxxxx/xxxxxxxxxxxxxxxxxxxxx.xxx	predictive	High
47	File	xxxx.x	predictive	Low
48	File	xxx/xxx.xxx	predictive	Medium
49	File	xxx/xxxxx.xxxx	predictive	High
50	File	xxxx_xxxxxxx.xxx	predictive	High
51	File	xxx%xx.xxx	predictive	Medium
52	File	xxxxxx.x	predictive	Medium
53	File	xxxx.xxx	predictive	Medium
54	File	xxxxx.xxx	predictive	Medium
55	File	xxxxxx/?x=xxxxx/\xxxxx\xxx/xxxxxxxxxxxxxx&xxxxxxxx=xxxx_xxxx_xxxx_xxxxx&xxxx[x]=xxxxxx&xxxx[x][]	predictive	High
56	File	xxxxxxxx.xxx	predictive	Medium
57	File	xxxxxxxx.xxx	predictive	Medium
58	File	xxxx.xxx	predictive	Medium
59	File	xxxxx/xxxxx.xxx	predictive	High
60	File	xxxxxxxx.xxx	predictive	Medium
61	File	xxxx-xxxxxxxx.xxx	predictive	High
62	File	xxxxxxxxx.xxx	predictive	High
63	File	xxxxxxxxx.xxx	predictive	High
64	File	xxxx.x	predictive	Low
65	File	xxxxxxxxxx	predictive	Medium
66	File	xxxxxxx/xxxxx.xxx	predictive	High
67	File	xxxxxx.xxx	predictive	Medium
68	File	xxx/xxxxxx/xxx/xxxxxxxxx.xxx	predictive	High
69	Library	xxxxx.xxx	predictive	Medium
70	Argument	xx/xx	predictive	Low
71	Argument	xxxxxx	predictive	Low
72	Argument	xxxxxxx_xxxx	predictive	Medium
73	Argument	xxxxxx_xxxx	predictive	Medium
74	Argument	xxxxxxxx	predictive	Medium
75	Argument	xxx	predictive	Low
76	Argument	xxxxxxxxxxxxxxxxx	predictive	High
77	Argument	xxxxx	predictive	Low
78	Argument	xxxxxxxxxxx/xxxxxxxx/xxx/xxxxx	predictive	High
79	Argument	xxxxxx_xx	predictive	Medium
80	Argument	xxxx	predictive	Low
81	Argument	xxxxxx	predictive	Low
82	Argument	xxxx	predictive	Low
83	Argument	xxxx	predictive	Low
84	Argument	xx	predictive	Low
85	Argument	xxxxx_xxxx	predictive	Medium
86	Argument	xxxxxxxx[xx]	predictive	Medium
87	Argument	xxx	predictive	Low
88	Argument	xxxxxxx	predictive	Low
89	Argument	xxxx/xxx_xxxxxxxxx	predictive	High
90	Argument	xxx_xxxx	predictive	Medium
91	Argument	xxxx_xxxxx	predictive	Medium
92	Argument	xxxxxxxx	predictive	Medium
93	Argument	xxxx_xxxx	predictive	Medium
94	Argument	xx	predictive	Low
95	Argument	xxxxxxx/xxxxx	predictive	High
96	Argument	xxxxxxxxxx	predictive	Medium
97	Argument	xxxxxx_xxx	predictive	Medium
98	Argument	xxxx_xxxxxx	predictive	Medium
99	Argument	xxxx_xx	predictive	Low
100	Argument	xxxxxxxx_xxxxxxxx	predictive	High
101	Argument	xxx_xxxx[x][]	predictive	High
102	Argument	xxxxxxxxxxxxxxxxxxxxx	predictive	High
103	Argument	xxxx_xx	predictive	Low
104	Argument	xxx	predictive	Low
105	Argument	xxx	predictive	Low
106	Argument	xxxx	predictive	Low
107	Argument	xxxxxxxx	predictive	Medium
108	Argument	xxxxxxxx	predictive	Medium
109	Argument	xxxx/xx/xxxx/xxx	predictive	High
110	Input Value	.%xx.../.%xx.../	predictive	High
111	Input Value	../../../../../xxx/xxx/xxxxx/xxxx/xxxxxxxx/xxxxx/xxx.xxx	predictive	High
112	Input Value	xxxxxxx -xxx	predictive	Medium
113	Input Value	xxxxxxxxxx	predictive	Medium
114	Network Port	xxxx	predictive	Low
115	Network Port	xxxx	predictive	Low
116	Network Port	xxxx xxxx	predictive	Medium
117	Network Port	xxx/xxx	predictive	Low
118	Network Port	xxx/xxx	predictive	Low
119	Network Port	xxx/xxxx	predictive	Medium

References (3)

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

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