Malicious PDF — malware analysis report

Static analysis result for SHA-256 a76f3597b0ee5f39…

MALICIOUS

PDF

51.2 KB Created: 2020-10-29 02:54:10 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04
MD5: a91f0afc1d4551f15e9637012b7f2e4d SHA-1: 1482ffa729dc853d5cac398a52f9ff9c0ec38c33 SHA-256: a76f3597b0ee5f39142e49cea3d0f325ad0d8bcb137ef2e94551185c206f73bd
170 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

This PDF document was flagged as malicious by an ML classifier. It uses an urgency-based lure. The file embeds a large number of external links characteristic of an SEO link farm, routes users through malicious redirector infrastructure and presents a deceptive download button. Specific URLs and indicators for this sample are listed in the indicators section.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 6

  • PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK
    PDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
  • Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM
    Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
  • Urgency / deadline lure low SE_URGENCY_LURE
    Document contains urgency or deadline language ('account will be terminated', 'action required within 24 hours', etc.) — useful context, but low-signal without other findings
  • Visual download / call-to-action button lure low SE_DOWNLOAD_BUTTON
    Document contains a call-to-action phrase ('Click here to download', 'Download Now', etc.) — low-signal unless other findings point to a malicious workflow
  • Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL
    The same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
  • Embedded URL info EMBEDDED_URL
    One or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.
    URL https://gettraff.ru/strik?keyword=tag+heuer+glasses+spare+parts In PDF document text
    • https://cdn-cms.f-static.net/uploads/4421462/normal_5f99af67dfb8a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4374715/normal_5f9a0012de02d.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://s3.amazonaws.com/wiwuxot/xovufofari.pdfIn PDF document text
    • https://s3.amazonaws.com/bulozor/pozixopalipajusaw.pdfIn PDF document text
    • https://s3.amazonaws.com/remufuzu/the_big_boss_chinese_drama_cast.pdfIn PDF document text
    • https://s3.amazonaws.com/leguvefu/beginners_guide_to_python_3.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0494/0100/4199/files/65924820147.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f93dec2d-c036-4b96-b256-038ce9b080ab/gavetugemapu.pdfIn PDF document text
    • https://s3.amazonaws.com/nuxulikiwab/96844632434.pdfIn PDF document text
    • https://s3.amazonaws.com/tabobujimo/33023050264.pdfIn PDF document text
    • https://s3.amazonaws.com/joterige/lilarokawuxalugaw.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/18adb8e5-9c7e-4d08-945a-5094b5d86a2f/vonotewajujerofakefok.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/1049/0022/files/26341683781.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1dfaaf21-f0e2-4612-bc60-af5c853b034f/waxefijuzunulujax.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0436/9799/5941/files/a_secret_panel_sentence.pdfIn PDF document text
    • https://s3.amazonaws.com/zetare/55663845534.pdfIn PDF document text
    • https://s3.amazonaws.com/zuxadol/bookmyshow_business_model.pdfIn PDF document text
    • https://s3.amazonaws.com/toliwudalamem/98299824806.pdfIn PDF document text
    • https://s3.amazonaws.com/punagilelabon/jean_bergeret.pdfIn PDF document text
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
    • http://purl.org/dc/elements/1.1/In PDF document text
    • http://ns.adobe.com/pdf/1.3/In PDF document text
    • http://ns.adobe.com/xap/1.0/In PDF document text
    • http://ns.adobe.com/xap/1.0/mm/In PDF document text
    • http://ns.adobe.com/xap/1.0/rights/In PDF document text
    • http://scripts.sil.org/OFLIn PDF document text

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000889f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x889F 5028 bytes
SHA-256: 61c25a0cd3ca0cfdbce07dce482d8a8b7af506f3482172a75111ca5d0839f314
font_01_sfnt_off000099b6.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x99B6 11608 bytes
SHA-256: e6d8b65de85698f1b73a2703f4b7712c797065c3ed4237e026dcd50aabb6e776