PDF malware analysis — malicious · bf06703220c43c06

MALICIOUS

PDF

51.5 KB Created: 2020-10-25 18:17:31 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-02-23

MD5: c0717eb36a0342b63057b7348f7a596c SHA-1: 3cf57323c18f43f493b1863032ea078edc1c265e SHA-256: bf06703220c43c064fd4dc0a4e4f095167ef1b4476f7c87bfb34b9779f4ce6cd

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://ttraff.me/123?keyword=barclays+banking+app+android+10 In PDF document text
- https://cdn-cms.f-static.net/uploads/4370561/normal_5f888760ac9e3.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4377095/normal_5f8c3faf26bee.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4388629/normal_5f938cd479630.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366341/normal_5f879c64b4b94.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367952/normal_5f8b4d7244b54.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://cdn.shopify.com/s/files/1/0427/9864/5404/files/3rd_grade_curriculum.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0467/7763/0873/files/rusikogu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0481/7616/9109/files/one_step_equation_word_problems.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0268/7647/7632/files/goodyear_assurance_fuel_max_review_consumer_reports.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/1966/3522/files/nomenclature_des_alcanes_ramifis_exercice.pdfIn PDF document text
- https://s3.amazonaws.com/tetenifeme/india_road_map_in_hindi.pdfIn PDF document text
- https://s3.amazonaws.com/xanebavifamopez/98064349692.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/a46fc885-8125-47be-bc04-d7ebd77bc0eb/83726540688.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/d2cbd0a0-d281-407d-8238-5fd8cd5b435d/49709130365.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/aae5e74c-5375-4b32-a089-dc6ae87998f9/61746519229.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/6e833027-07ca-4290-bc5a-96aa4bf69970/bamonofumikediposis.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/ae6fcbed-afc1-4340-9705-a3e3b6351a38/guvomunevolireg.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0481/0981/3923/files/pafopanusenugesabane.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0503/1464/1605/files/blank_times_tables_worksheets_printable.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0488/0623/2229/files/pronounce_morado_in_spanish.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/8591/2477/files/36454337979.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0488/2065/0149/files/court_of_swords.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 3

Files carved from inside the sample during analysis.

Filename	Kind	Source	Size
`font_00_sfnt_off00007c42.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x7C42	5380 bytes
SHA-256: `5475cf08142f829fbc28111edd82b6c9449798fec72ddb6963cdc448eacfce15`
`font_01_sfnt_off00008e8c.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x8E8C	10416 bytes
SHA-256: `ff6c3125b18cc47d8891aa5d7ca9b22b8bde50e25d5570c3ed49344a71a6c9dd`
`font_02_sfnt_off0000b23b.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0xB23B	4324 bytes
SHA-256: `1158d95dac44631f497756703988ba3645251422e7ff0015d3fca430225e7c3e`

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