Malicious PDF — malware analysis report

Static analysis result for SHA-256 a7d393e6aaf70000…

MALICIOUS

PDF

42.1 KB Created: 2020-10-02 16:32:25 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-04
MD5: c9c0f27c16393e8d5350c7f8862d8fb9 SHA-1: e6ff6bacbc781125455722f96a412d5fd5af2722 SHA-256: a7d393e6aaf70000035615bb4bef76ee821edcef917ec82f21ce9a98b75cbca7
194 Risk Score

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 5

  • 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.
  • Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINK
    PDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
  • 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/pify?keyword=agnes+from+tanked+instagram In PDF document text
    • http://files.humankindjournal.org/uploads/1/3/0/7/130738714/405b2c87f.pdfIn PDF document text
    • http://rikix.journeywell.org/uploads/1/3/1/4/131438058/3510499.pdfIn PDF document text
    • http://jupixexo.maverickandhaywood.com/uploads/1/3/1/3/131384260/7211018.pdfIn PDF document text
    • http://mupamu.gofrostyourselfedibleimages.com/uploads/1/3/1/0/131070458/5a0165f5ea7.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://cdn.shopify.com/s/files/1/0482/5881/0017/files/st_boniface_christmas_tree_story.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0438/7412/3944/files/gaggia_espresso_machine_not_pumping_water.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/2168/1315/files/lumutemalovanawux.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0482/8233/7444/files/the_grand_14_conroe.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/4885/2904/files/vizuronijadajutexalowegin.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0488/5364/7516/files/38975973329.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0440/4248/5925/files/cast_of_kyle_xy.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2274f3b4-75b4-4a91-8f48-8e4ff3aa1245/subode.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/23e8cc0b-f1f4-49d6-90ce-2f8c6486495e/26392675783.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/75ebc6ea-38be-4af6-8908-d4dd2961764a/60485629282.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c0847862-5ed6-4adf-a42f-18b9849452c2/jodemeza.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/417a4c4c-e5ce-4349-87d9-cdfe3621d9bf/91663294491.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_off000065fa.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x65FA 5248 bytes
SHA-256: 6be9603e0c9c97377dfa8b75193c02b253e195077600b453cb2400e50fc0d59a
font_01_sfnt_off000077c5.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x77C5 10548 bytes
SHA-256: e0f52714a306db396bf6500d14031e315137e14eb29f994d2aaaf58dd80fe65c

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