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Computer vulnerabilities of EMC Avamar

Intel Processors: memory reading via Meltdown
When the system uses an Intel processor, a local attacker can access to the kernel memory, in order to read sensitive information...
2016636, 519675, ADV180002, CERTFR-2018-ALE-001, CERTFR-2018-AVI-004, CERTFR-2018-AVI-005, CERTFR-2018-AVI-009, CERTFR-2018-AVI-012, CERTFR-2018-AVI-014, CERTFR-2018-AVI-017, CERTFR-2018-AVI-018, CERTFR-2018-AVI-029, CERTFR-2018-AVI-048, CERTFR-2018-AVI-049, CERTFR-2018-AVI-077, CERTFR-2018-AVI-079, CERTFR-2018-AVI-114, CERTFR-2018-AVI-124, CERTFR-2018-AVI-134, CERTFR-2018-AVI-208, CERTFR-2018-AVI-225, CERTFR-2019-AVI-242, CERTFR-2019-AVI-489, cisco-sa-20180104-cpusidechannel, cpuapr2019, cpuapr2020, CTX231390, CTX231399, CTX234679, CVE-2017-5754, DLA-1232-1, DLA-1349-1, DSA-2018-049, DSA-4078-1, DSA-4082-1, DSA-4120-1, DSA-4120-2, DSA-4179-1, FG-IR-18-002, FreeBSD-SA-18:03.speculative_execution, HT208331, HT208334, HT208394, HT208465, JSA10842, JSA10873, K91229003, MBGSA-1801, Meltdown, N1022433, nas8N1022433, openSUSE-SU-2018:0022-1, openSUSE-SU-2018:0023-1, openSUSE-SU-2018:0326-1, openSUSE-SU-2018:0459-1, openSUSE-SU-2018:1623-1, RHSA-2018:0007-01, RHSA-2018:0008-01, RHSA-2018:0009-01, RHSA-2018:0010-01, RHSA-2018:0011-01, RHSA-2018:0012-01, RHSA-2018:0013-01, RHSA-2018:0014-01, RHSA-2018:0015-01, RHSA-2018:0016-01, RHSA-2018:0017-01, RHSA-2018:0018-01, RHSA-2018:0020-01, RHSA-2018:0021-01, RHSA-2018:0022-01, RHSA-2018:0023-01, RHSA-2018:0024-01, RHSA-2018:0025-01, RHSA-2018:0026-01, RHSA-2018:0027-01, RHSA-2018:0028-01, RHSA-2018:0029-01, RHSA-2018:0030-01, RHSA-2018:0031-01, RHSA-2018:0032-01, RHSA-2018:0034-01, RHSA-2018:0035-01, RHSA-2018:0036-01, RHSA-2018:0037-01, RHSA-2018:0038-01, RHSA-2018:0039-01, RHSA-2018:0040-01, RHSA-2018:0053-01, RHSA-2018:0093-01, RHSA-2018:0094-01, RHSA-2018:0103-01, RHSA-2018:0104-01, RHSA-2018:0105-01, RHSA-2018:0106-01, RHSA-2018:0107-01, RHSA-2018:0108-01, RHSA-2018:0109-01, RHSA-2018:0110-01, RHSA-2018:0111-01, RHSA-2018:0112-01, RHSA-2018:0182-01, RHSA-2018:0292-01, RHSA-2018:0464-01, RHSA-2018:0496-01, RHSA-2018:0512-01, RHSA-2018:1129-01, RHSA-2018:1196-01, SA161, SB10226, spectre_meltdown_advisory, SSA-168644, SSA:2018-016-01, SSA:2018-037-01, SSA-608355, STORM-2018-001, SUSE-SU-2018:0010-1, SUSE-SU-2018:0011-1, SUSE-SU-2018:0012-1, SUSE-SU-2018:0031-1, SUSE-SU-2018:0040-1, SUSE-SU-2018:0069-1, SUSE-SU-2018:0115-1, SUSE-SU-2018:0131-1, SUSE-SU-2018:0171-1, SUSE-SU-2018:0219-1, SUSE-SU-2018:0438-1, SUSE-SU-2018:0472-1, SUSE-SU-2018:0601-1, SUSE-SU-2018:0609-1, SUSE-SU-2018:0638-1, SUSE-SU-2018:0678-1, SUSE-SU-2018:0909-1, SUSE-SU-2018:1603-1, SUSE-SU-2018:1658-1, SUSE-SU-2018:1699-1, SUSE-SU-2018:2528-1, Synology-SA-18:01, USN-3516-1, USN-3522-1, USN-3522-2, USN-3522-3, USN-3522-4, USN-3523-1, USN-3523-2, USN-3523-3, USN-3524-1, USN-3524-2, USN-3525-1, USN-3540-1, USN-3540-2, USN-3541-1, USN-3541-2, USN-3583-1, USN-3583-2, USN-3597-1, USN-3597-2, VIGILANCE-VUL-24933, VMSA-2018-0007, VN-2018-001, VN-2018-002, VU#584653, XSA-254
FasterXML jackson-databind: code execution via Incomplete Deserialization Black List
An attacker can use a vulnerability via Incomplete Deserialization Black List of FasterXML jackson-databind, in order to run code...
5048, 519493, cpuapr2018, cpujan2019, cpujul2018, cpuoct2018, CVE-2017-15095, CVE-2017-17485, DLA-2091-1, DSA-2018-048, DSA-4037-1, DSA-4114-1, FEDORA-2017-4a071ecbc7, FEDORA-2017-e16ed3f7a1, FEDORA-2018-bbf8c38b51, FEDORA-2018-e4b025841e, ibm10715641, ibm10738249, RHSA-2018:0478-01, RHSA-2018:0479-01, RHSA-2018:0480-01, RHSA-2018:0481-01, RHSA-2018:0576-01, RHSA-2018:0577-01, RHSA-2018:1447-01, RHSA-2018:1448-01, RHSA-2018:1449-01, RHSA-2018:1450-01, RHSA-2018:1451-01, RHSA-2018:2930-01, VIGILANCE-VUL-24456
Apache Struts: code execution via Freemarker
An attacker can use a vulnerability via Freemarker of Apache Struts, in order to run code...
3889403, 3905487, 504595, 509396, CVE-2017-12611, ESA-2017-121, ESA-2017-128, S2-053, VIGILANCE-VUL-23756
EMC Avamar: two vulnerabilities
An attacker can use several vulnerabilities of EMC Avamar...
500464, CVE-2017-4989, CVE-2017-4990, ESA-2017-054, VIGILANCE-VUL-22868
Oracle Java: vulnerabilities of April 2017
An attacker can use several vulnerabilities of Oracle Java...
2003016, 2003566, 2004451, 2005052, 2005123, 2005160, 2005255, 2007242, 2007464, 2008210, 500160, BSA-2017-323, BSA-2017-325, BSA-2017-326, BSA-2017-327, BSA-2017-328, BSA-2017-330, BSA-2017-331, CERTFR-2017-AVI-119, cpuapr2017, CVE-2017-3509, CVE-2017-3511, CVE-2017-3512, CVE-2017-3514, CVE-2017-3526, CVE-2017-3533, CVE-2017-3539, CVE-2017-3544, DLA-954-1, DSA-3858-1, ESA-2017-058, FEDORA-2017-25358a23ad, FEDORA-2017-9b18f02810, FEDORA-2017-9fbcf033f8, FEDORA-2017-a6a053fc05, NTAP-20170420-0001, openSUSE-SU-2017:1429-1, openSUSE-SU-2017:1507-1, RHSA-2017:1108-01, RHSA-2017:1109-01, RHSA-2017:1117-01, RHSA-2017:1118-01, RHSA-2017:1119-01, RHSA-2017:1204-01, RHSA-2017:1220-01, RHSA-2017:1221-01, RHSA-2017:1222-01, SB10200, SUSE-SU-2017:1384-1, SUSE-SU-2017:1386-1, SUSE-SU-2017:1387-1, SUSE-SU-2017:1400-1, SUSE-SU-2017:1444-1, SUSE-SU-2017:1445-1, USN-3275-1, USN-3275-2, USN-3275-3, VIGILANCE-VUL-22488
Apache Struts: code execution via Jakarta Multipart CD/CL
An attacker can use a malicious Content-Disposition/Content-Length header on Apache Struts with Jakarta Multipart installed, in order to run code...
498123, CERTFR-2017-ALE-004, cisco-sa-20170310-struts2, cpuapr2017, cpujul2017, CVE-2017-5638, ESA-2017-042, S2-045, S2-046, VIGILANCE-VUL-22190
Apache Struts: code execution via Jakarta Multipart CT
An attacker can use a malicious Content-Type header on Apache Struts with Jakarta Multipart installed, in order to run code...
498123, CERTFR-2017-ALE-004, CERTFR-2017-AVI-071, cisco-sa-20170310-struts2, cpuapr2017, cpujul2017, CVE-2017-5638, ESA-2017-042, S2-045, S2-046, VIGILANCE-VUL-22047, VMSA-2017-0004, VMSA-2017-0004.6, VU#834067
Oracle Java: vulnerabilities of October 2016
An attacker can use several vulnerabilities of Oracle Java...
1993440, 1994049, 1994123, 1994478, 1997764, 1999054, 1999395, 1999474, 1999478, 1999479, 1999488, 1999532, 2000212, 2000544, 2000904, 2000988, 2000990, 2001608, 2002331, 2002479, 2002537, 2003145, 2004036, 491108, CERTFR-2016-AVI-349, CERTFR-2017-AVI-012, cpuoct2016, CVE-2016-5542, CVE-2016-5554, CVE-2016-5556, CVE-2016-5568, CVE-2016-5573, CVE-2016-5582, CVE-2016-5597, DLA-704-1, DSA-3707-1, ESA-2016-137, FEDORA-2016-73054cfeeb, JSA10770, NTAP-20161019-0001, openSUSE-SU-2016:2862-1, openSUSE-SU-2016:2900-1, openSUSE-SU-2016:2985-1, openSUSE-SU-2016:2990-1, openSUSE-SU-2016:3088-1, RHSA-2016:2079-01, RHSA-2016:2088-01, RHSA-2016:2089-01, RHSA-2016:2090-01, RHSA-2016:2136-01, RHSA-2016:2137-01, RHSA-2016:2138-01, RHSA-2016:2658-01, RHSA-2016:2659-01, RHSA-2017:0061-01, SUSE-SU-2016:2887-1, SUSE-SU-2016:3010-1, SUSE-SU-2016:3040-1, SUSE-SU-2016:3041-1, SUSE-SU-2016:3043-1, SUSE-SU-2016:3068-1, SUSE-SU-2016:3078-1, USN-3121-1, USN-3130-1, USN-3154-1, VIGILANCE-VUL-20906, ZDI-16-571
EMC Avamar Data Store, Virtual Edition: five vulnerabilities
An attacker can use several vulnerabilities of EMC Avamar Data Store, Virtual Edition...
489195, CVE-2016-0903, CVE-2016-0904, CVE-2016-0905, CVE-2016-0920, CVE-2016-0921, ESA-2016-065, VIGILANCE-VUL-20607
Blowfish, Triple-DES: algorithms too weak, SWEET32
An attacker can create a TLS/VPN session with a Blowfish/Triple-DES algorithm, and perform a two days attack, in order to decrypt data...
1610582, 1991866, 1991867, 1991870, 1991871, 1991875, 1991876, 1991878, 1991880, 1991882, 1991884, 1991885, 1991886, 1991887, 1991889, 1991892, 1991894, 1991896, 1991902, 1991903, 1991951, 1991955, 1991959, 1991960, 1991961, 1992681, 1993777, 1994375, 1995099, 1995922, 1998797, 1999054, 1999421, 2000209, 2000212, 2000370, 2000544, 2001608, 2002021, 2002335, 2002336, 2002479, 2002537, 2002870, 2002897, 2002991, 2003145, 2003480, 2003620, 2003673, 2004036, 2008828, 523628, 9010102, bulletinapr2017, c05349499, c05369403, c05369415, c05390849, CERTFR-2017-AVI-012, CERTFR-2019-AVI-049, CERTFR-2019-AVI-311, cisco-sa-20160927-openssl, cpuapr2017, cpujan2018, cpujan2020, cpujul2017, cpujul2019, cpujul2020, cpuoct2017, cpuoct2020, CVE-2016-2183, CVE-2016-6329, DSA-2018-124, DSA-2019-131, DSA-2020-072, DSA-3673-1, DSA-3673-2, FEDORA-2016-7810e24465, FEDORA-2016-dc2cb4ad6b, FG-IR-16-047, FG-IR-16-048, FG-IR-17-127, FG-IR-17-173, HPESBGN03697, HPESBGN03765, HPESBUX03725, HPSBGN03690, HPSBGN03694, HPSBHF03674, ibm10718843, java_jan2017_advisory, JSA10770, K13167034, KM03060544, NTAP-20160915-0001, openSUSE-SU-2016:2199-1, openSUSE-SU-2016:2391-1, openSUSE-SU-2016:2407-1, openSUSE-SU-2016:2496-1, openSUSE-SU-2016:2537-1, openSUSE-SU-2017:1638-1, openSUSE-SU-2018:0458-1, RHSA-2017:0336-01, RHSA-2017:0337-01, RHSA-2017:0338-01, RHSA-2017:3113-01, RHSA-2017:3114-01, RHSA-2017:3239-01, RHSA-2017:3240-01, RHSA-2018:2123-01, SA133, SA40312, SB10171, SB10186, SB10197, SB10215, SB10310, SOL13167034, SP-CAAAPUE, SPL-129207, SSA:2016-266-01, SSA:2016-363-01, SSA-556833, SUSE-SU-2016:2387-1, SUSE-SU-2016:2394-1, SUSE-SU-2016:2458-1, SUSE-SU-2016:2468-1, SUSE-SU-2016:2469-1, SUSE-SU-2016:2470-1, SUSE-SU-2016:2470-2, SUSE-SU-2017:1444-1, SUSE-SU-2017:2838-1, SUSE-SU-2017:3177-1, SUSE-SU-2019:14246-1, SWEET32, TNS-2016-16, USN-3087-1, USN-3087-2, USN-3270-1, USN-3339-1, USN-3339-2, USN-3372-1, VIGILANCE-VUL-20473
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