Comparing certificates Experimental feature

You are comparing two certificates. By default, only differing attributes are shown. Use the button below to show/hide all attributes.

Showing only differing attributes.
Huawei MindSpore 1.2
NSCIB-CC-0415138-CR 		SECUINXG V1.6
KECS-NISS-0068-2007
name Huawei MindSpore 1.2 SECUINXG V1.6
category Other Devices and Systems Access Control Devices and Systems
scheme NL KR
status active archived
not_valid_after 04.04.2027 01.06.2019
not_valid_before 04.04.2022 22.06.2007
cert_link https://www.commoncriteriaportal.org/nfs/ccpfiles/files/epfiles/NSCIB%20certificate%2022-0415138.pdf
report_link https://www.commoncriteriaportal.org/nfs/ccpfiles/files/epfiles/NSCIB-CC-0415138-CR-1.0.pdf https://www.commoncriteriaportal.org/nfs/ccpfiles/files/epfiles/NISS-68-EN.pdf
st_link https://www.commoncriteriaportal.org/nfs/ccpfiles/files/epfiles/NSCIB-CC-0415138-ST_v1.3.6.pdf https://www.commoncriteriaportal.org/nfs/ccpfiles/files/epfiles/NISS-68-ST-EN.pdf
manufacturer Huawei Technologies Co., Ltd. Secui.com Corp.
manufacturer_web https://www.huawei.com https://www.secui.com
security_level EAL2+, ALC_FLR.2 EAL4
dgst ee15341c24fb52bb 809ce4bba04ff29d
heuristics/cert_id NSCIB-CC-0415138-CR KECS-NISS-0068-2007
heuristics/cert_lab []
heuristics/extracted_sars ALC_FLR.2 ADV_LLD.1, AVA_MSU.2, ALC_LCD.1, ALC_TAT.1, ADV_FSP.2, AGD_ADM.1, ATE_IND.2, ATE_FUN.1, ADV_RCR.1, ATE_DPT.1, AVA_SOF.1, AVA_VLA.2, AGD_USR.1, ATE_COV.2, ADV_HLD.2, ADV_IMP.1, ADV_SPM.1, ALC_DVS.1
heuristics/extracted_versions 1.2 1.6
heuristics/scheme_data
pdf_data/cert_filename NSCIB certificate 22-0415138.pdf
pdf_data/cert_keywords/cc_cert_id
  • NL:
    • CC-22-0415138: 1
pdf_data/cert_keywords/cc_protection_profile_id
pdf_data/cert_keywords/cc_security_level
  • EAL:
    • EAL2: 1
    • EAL2 augmented: 1
    • EAL4: 1
pdf_data/cert_keywords/cc_sar
  • ALC:
    • ALC_FLR.2: 1
pdf_data/cert_keywords/cc_sfr
pdf_data/cert_keywords/cc_claims
  • R:
    • R.L: 1
pdf_data/cert_keywords/vendor
  • Huawei:
    • Huawei Technologies Co: 1
pdf_data/cert_keywords/eval_facility
  • BrightSight:
    • Brightsight: 1
  • SGS:
    • SGS: 1
    • SGS Brightsight: 1
pdf_data/cert_keywords/symmetric_crypto
pdf_data/cert_keywords/asymmetric_crypto
pdf_data/cert_keywords/pq_crypto
pdf_data/cert_keywords/hash_function
pdf_data/cert_keywords/crypto_scheme
pdf_data/cert_keywords/crypto_protocol
pdf_data/cert_keywords/randomness
pdf_data/cert_keywords/cipher_mode
pdf_data/cert_keywords/ecc_curve
pdf_data/cert_keywords/crypto_engine
pdf_data/cert_keywords/tls_cipher_suite
pdf_data/cert_keywords/crypto_library
pdf_data/cert_keywords/vulnerability
pdf_data/cert_keywords/side_channel_analysis
pdf_data/cert_keywords/technical_report_id
pdf_data/cert_keywords/device_model
pdf_data/cert_keywords/tee_name
pdf_data/cert_keywords/os_name
pdf_data/cert_keywords/cplc_data
pdf_data/cert_keywords/ic_data_group
pdf_data/cert_keywords/standard_id
  • ISO:
    • ISO/IEC 15408-1: 1
    • ISO/IEC 15408-2: 1
    • ISO/IEC 15408-3: 1
    • ISO/IEC 18045: 2
pdf_data/cert_keywords/javacard_version
pdf_data/cert_keywords/javacard_api_const
pdf_data/cert_keywords/javacard_packages
pdf_data/cert_keywords/certification_process
pdf_data/cert_metadata
  • /CreationDate: D:20220421170830+01'00'
  • /Creator: C458-M
  • /ModDate: D:20220422143159+02'00'
  • /Producer: KONICA MINOLTA bizhub C458
  • /Title: C458-M&S22042117080
  • pdf_file_size_bytes: 78394
  • pdf_hyperlinks: {}
  • pdf_is_encrypted: False
  • pdf_number_of_pages: 1
pdf_data/report_filename NSCIB-CC-0415138-CR-1.0.pdf NISS-68-EN.pdf
pdf_data/report_frontpage
  • NL:
    • cert_id: NSCIB-CC-0415138-CR
    • cert_item: MindSpore 1.2
    • cert_lab: SGS Brightsight B.V.
    • developer: Huawei Technologies Co., Ltd
  • NL:
pdf_data/report_keywords/cc_cert_id
  • NL:
    • NSCIB-CC-0415138-CR: 12
  • KR:
    • KECS-NISS-0068-2007: 1
pdf_data/report_keywords/cc_security_level
  • EAL:
    • EAL 2: 1
    • EAL 2 augmented: 1
    • EAL2+: 2
    • EAL4: 1
  • EAL:
    • EAL 4: 2
    • EAL4: 1
pdf_data/report_keywords/cc_sar
  • ALC:
    • ALC_FLR.2: 2
  • ATE:
    • ATE_COV: 1
    • ATE_DTP: 1
pdf_data/report_keywords/cc_claims
  • A:
    • A.SSL: 1
pdf_data/report_keywords/vendor
  • Huawei:
    • Huawei: 1
    • Huawei Technologies Co: 4
pdf_data/report_keywords/eval_facility
  • BrightSight:
    • Brightsight: 2
  • SGS:
    • SGS: 2
    • SGS Brightsight: 2
pdf_data/report_keywords/crypto_protocol
  • TLS:
    • SSL:
      • SSL: 3
pdf_data/report_keywords/side_channel_analysis
  • other:
    • JIL: 1
    • deep learning: 4
pdf_data/report_keywords/certification_process
  • OutOfScope:
    • Model hardening use case included in [ST] scope Attack use case included in [ST] scope Out of scope is the creation of AI Applications that define and train a deep learning model using a training: 1
    • Out of scope: 1
    • and MindSpore. Also out of scope is the creation of AI Applications that use trained models and MindSpore to conduct inference of: 1
    • out of scope: 1
pdf_data/report_metadata
  • /Author: 퓈arkib
  • /Company: ISIS
  • /CreationDate: D:20070927171514+09'00'
  • /Creator: Word용 Acrobat PDFMaker 8.1
  • /ModDate: D:20070927171532+09'00'
  • /Producer: Acrobat Distiller 8.1.0 (Windows)
  • /SourceModified: D:20070927080903
  • /Title: ¬µµ
  • pdf_file_size_bytes: 405012
  • pdf_hyperlinks: {}
  • pdf_is_encrypted: False
  • pdf_number_of_pages: 18
pdf_data/st_filename NSCIB-CC-0415138-ST_v1.3.6.pdf NISS-68-ST-EN.pdf
pdf_data/st_keywords/cc_security_level
  • EAL:
    • EAL 2: 1
    • EAL2: 2
    • EAL2 augmented: 2
  • EAL:
    • EAL4: 3
pdf_data/st_keywords/cc_sar
  • ALC:
    • ALC_FLR.2: 2
  • ACM:
    • ACM_AUT.1: 12
    • ACM_CAP.4: 22
    • ACM_SCP.2: 8
  • ADO:
    • ADO_DEL.2: 11
    • ADO_IGS.1: 9
  • ADV:
    • ADV_FSP.2: 13
    • ADV_HLD.2: 17
    • ADV_IMP.1: 10
    • ADV_LLD.1: 18
    • ADV_RCR.1: 8
    • ADV_SPM.1: 14
  • AGD:
    • AGD_ADM: 1
    • AGD_ADM.1: 14
    • AGD_USR.1: 14
  • ALC:
    • ALC_DVS.1: 10
    • ALC_LCD.1: 10
    • ALC_TAT.1: 11
  • ATE:
    • ATE_COV.2: 9
    • ATE_DPT.1: 8
    • ATE_FUN.1: 13
    • ATE_IND.2: 11
  • AVA:
    • AVA_MSU.2: 16
    • AVA_SOF.1: 10
    • AVA_VLA.2: 16
pdf_data/st_keywords/cc_sfr
  • FAU:
    • FAU_ARP: 1
    • FAU_ARP.1: 9
    • FAU_ARP.1.1: 1
    • FAU_GEN: 1
    • FAU_GEN.1: 15
    • FAU_GEN.1.1: 1
    • FAU_GEN.1.2: 1
    • FAU_GEN.2: 8
    • FAU_GEN.2.1: 1
    • FAU_SAA: 1
    • FAU_SAA.1: 9
    • FAU_SAA.1.1: 1
    • FAU_SAA.1.2: 1
    • FAU_SAR: 1
    • FAU_SAR.1: 9
    • FAU_SAR.1.1: 1
    • FAU_SAR.1.2: 1
    • FAU_SAR.3: 7
    • FAU_SAR.3.1: 1
    • FAU_SEL: 1
    • FAU_SEL.1: 9
    • FAU_SEL.1.1: 1
    • FAU_STG: 1
    • FAU_STG.1: 9
    • FAU_STG.1.1: 1
    • FAU_STG.1.2: 1
    • FAU_STG.3: 10
    • FAU_STG.3.1: 1
    • FAU_STG.4: 7
    • FAU_STG.4.1: 1
  • FDP:
    • FDP_ACC: 1
    • FDP_ACC.1: 1
    • FDP_IFC: 1
    • FDP_IFC.1: 15
    • FDP_IFC.1.1: 1
    • FDP_IFF: 1
    • FDP_IFF.1: 9
    • FDP_IFF.1.1: 1
    • FDP_IFF.1.2: 1
    • FDP_IFF.1.3: 1
    • FDP_IFF.1.4: 1
    • FDP_IFF.1.5: 1
    • FDP_IFF.1.6: 1
  • FIA:
    • FIA_AFL.1: 10
    • FIA_AFL.1.1: 1
    • FIA_AFL.1.2: 1
    • FIA_ATD: 1
    • FIA_ATD.1: 12
    • FIA_ATD.1.1: 2
    • FIA_UAU: 1
    • FIA_UAU.1: 16
    • FIA_UAU.1.1: 2
    • FIA_UAU.1.2: 1
    • FIA_UAU.7: 7
    • FIA_UAU.7.1: 1
    • FIA_UID: 1
    • FIA_UID.1: 9
    • FIA_UID.2: 15
    • FIA_UID.2.1: 2
  • FMT:
    • FMT_MOF: 1
    • FMT_MOF.1: 9
    • FMT_MOF.1.1: 1
    • FMT_MSA: 1
    • FMT_MSA.1: 10
    • FMT_MSA.1.1: 1
    • FMT_MSA.3: 10
    • FMT_MSA.3.1: 1
    • FMT_MSA.3.2: 1
    • FMT_MTD: 1
    • FMT_MTD.1: 47
    • FMT_MTD.1.1: 6
    • FMT_MTD.2: 9
    • FMT_MTD.2.1: 1
    • FMT_MTD.2.2: 1
    • FMT_SMF: 1
    • FMT_SMF.1: 18
    • FMT_SMF.1.1: 1
    • FMT_SMR: 9
    • FMT_SMR.1: 13
    • FMT_SMR.1.1: 1
    • FMT_SMR.1.2: 1
  • FPT:
    • FPT_AMT: 1
    • FPT_AMT.1: 9
    • FPT_AMT.1.1: 1
    • FPT_FLS: 1
    • FPT_FLS.1: 10
    • FPT_FLS.1.1: 1
    • FPT_RVM: 1
    • FPT_RVM.1: 7
    • FPT_RVM.1.1: 1
    • FPT_SEP: 1
    • FPT_SEP.1: 6
    • FPT_SEP.1.1: 1
    • FPT_SEP.1.2: 1
    • FPT_STM: 1
    • FPT_STM.1: 14
    • FPT_STM.1.1: 2
    • FPT_TST: 1
    • FPT_TST.1: 9
    • FPT_TST.1.1: 1
    • FPT_TST.1.2: 1
    • FPT_TST.1.3: 1
  • FRU:
    • FRU_FLT: 1
    • FRU_FLT.1: 9
    • FRU_FLT.1.1: 1
    • FRU_RSA: 1
    • FRU_RSA.1: 9
    • FRU_RSA.1.1: 1
  • FTA:
    • FTA_SSL: 1
    • FTA_SSL.1: 9
    • FTA_SSL.1.1: 1
    • FTA_SSL.1.2: 1
    • FTA_SSL.3: 8
    • FTA_SSL.3.1: 1
  • FTP:
    • FTP_ITC.1: 14
    • FTP_ITC.1.1: 2
    • FTP_ITC.1.2: 2
    • FTP_ITC.1.3: 2
pdf_data/st_keywords/cc_claims
  • A:
    • A.RETRAINING: 1
    • A.TRUSTED_AI_APPLICATION: 1
    • A.TRUSTED_IT_ENVIRONMENT: 1
  • O:
    • O.ACCURACY_ATTACK: 3
    • O.ACCURACY_DEFENCE: 2
  • OE:
    • OE.RETRAIN: 1
    • OE.TRUSTED_AI_APPLICATION: 1
    • OE.TRUSTED_IT_ENVIRONMENT: 1
  • T:
    • T.EVASION_ATTACK: 1
  • A:
    • A.SSL: 4
  • O:
    • O.SF: 1
    • O.TSF: 18
  • OE:
    • OE.SSL: 6
  • T:
    • T.TSF: 6
pdf_data/st_keywords/vendor
  • Huawei:
    • Huawei: 8
    • Huawei Technologies Co: 45
  • Cisco:
    • Cisco: 2
pdf_data/st_keywords/symmetric_crypto
  • DES:
    • 3DES:
      • 3DES: 1
  • constructions:
    • MAC:
      • HMAC: 1
pdf_data/st_keywords/hash_function
  • SHA:
    • SHA2:
      • SHA256: 1
  • SHA:
    • SHA1:
      • SHA-1: 2
pdf_data/st_keywords/crypto_scheme
  • MAC:
    • MAC: 1
pdf_data/st_keywords/crypto_protocol
  • TLS:
    • SSL:
      • SSL: 34
pdf_data/st_keywords/cipher_mode
  • CBC:
    • CBC: 1
pdf_data/st_keywords/side_channel_analysis
  • other:
    • Deep Learning: 13
    • Deep learning: 10
    • deep learning: 16
pdf_data/st_keywords/standard_id
  • RFC:
    • RFC 1918: 1
    • RFC 2281: 1
    • RFC 791: 1
    • RFC 792: 1
    • RFC 793: 1
pdf_data/st_keywords/certification_process
  • OutOfScope:
    • Copyright © Huawei Technologies Co., Ltd. 3 Figure 4 Attack use case The MindSpore supports other out of scope functionalities and is provided along with other out of scope developer supporting tools: The AI: 1
    • as a library that is used by AI Application developers to provide AI services. The two main out of scope unsecured use cases are: 1. create AI Applications that define and train a deep learning model with: 1
    • out of scope: 3
pdf_data/st_metadata
state/cert/convert_ok True False
state/cert/download_ok True False
state/cert/extract_ok True False
state/cert/pdf_hash Different Different
state/cert/txt_hash Different Different
state/report/pdf_hash Different Different
state/report/txt_hash Different Different
state/st/pdf_hash Different Different
state/st/txt_hash Different Different