Malicious PDF — malware analysis report

Static analysis result for SHA-256 0b5010a9c1f0ebfd…

MALICIOUS

PDF

53.7 KB Created: 2020-08-25 07:27:06 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-09
MD5: aea170bd26297efd0fa5325ab35ded30 SHA-1: 76aaea00a450b80eff7f3ec7ae3f64f3f0466a8c SHA-256: 0b5010a9c1f0ebfd28d9ae3c875a3a0819d20cc91f62495a006ce77028241713
194 Risk Score

Malware Insights

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

The PDF contains numerous links, many pointing to a redirector service (ttraff.com) which is flagged as malicious. The document body, though heavily obfuscated, contains the same redirector URL and appears to be a lure for free downloads, likely leading to phishing or malware. The ML classifier strongly supports the malicious verdict.

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.com/pify?keyword=information+technology+meaning+in+french In PDF document text
    • http://setezi.viktoraskubaitis.com/uploads/1/3/0/9/130969592/vuzizisalidif_nurasoza_zowigites_zelafexuxonizi.pdfIn PDF document text
    • http://files.revolutionaryscience.org/uploads/1/3/2/6/132681448/venumiziver.pdfIn PDF document text
    • http://nevujisi.movingintune.com/uploads/1/3/0/9/130969724/7c4e4f5c4b6c14.pdfIn PDF document text
    • http://files.touchofheavenranch.com/uploads/1/3/0/9/130969548/tavejug.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/1/0427/6482/8838/files/waste_management_plan_template_northern_beaches_council.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0438/2919/8998/files/nationwide_first_time_buyer_guide.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/6341/0845/files/8682884319.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0440/0149/3142/files/algebra_1_exponents_worksheets.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/3874/4469/files/artificial_intelligence_4th_industrial_revolution.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/2460/5599/files/nabucco_libretto.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/0185/5646/files/byomkesh_bakshi_stories.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0465/0221/5838/files/basic_english_vocabulary_book.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/9236/9823/files/new_catholic_encyclopedia_vol_2.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/7658/2560/files/26843110650.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.

FilenameKindSourceSize
font_00_sfnt_off000087cf.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x87CF 4944 bytes
SHA-256: ab3c286a174ec10d4a53e997c8fd7b8b9d929dd8a3928dea3021169c914cd45b
font_01_sfnt_off0000986c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x986C 10376 bytes
SHA-256: c0c46dea372efe3f865886804b50860936cee718dd7e9d363c009d5724a3e3cf
font_02_sfnt_off0000bbdc.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xBBDC 4324 bytes
SHA-256: 9f355172d696dda274cac500966718f112ce76951f19577ac4888987ea6471b2