Malicious PDF — malware analysis report

Static analysis result for SHA-256 2096e516b6a9712c…

MALICIOUS

PDF

52.3 KB Created: 2020-10-28 05:28:21 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-14
MD5: 4e402c2dcbc848f4ac55a29795b9271d SHA-1: b0298fa12c6486ef1238bef14a2f901f2e263877 SHA-256: 2096e516b6a9712c143cc5ee4d9635ac05a155da604eb7ed4f4364c2cc0c71a6
134 Risk Score

Malware Insights

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

The PDF contains embedded URLs that point to a redirector, identified as malicious. The document body, though partially corrupted, suggests a lure related to a 'scientific notation word problem worksheet'. The ML classifier and heuristic firings strongly indicate malicious intent, likely to redirect users to a phishing or malware distribution site.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • 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.
  • 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.link/123?keyword=scientific+notation+word+problem+worksheet In PDF document text
    • https://cdn-cms.f-static.net/uploads/4393489/normal_5f975e17d699f.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368962/normal_5f8911ee4fa1c.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4393644/normal_5f935a8dbcd33.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367005/normal_5f8ca070300f5.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4420451/normal_5f97189d47df1.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366015/normal_5f8c9ea88fd15.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368998/normal_5f88c30915850.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/xetasif/feluvogeterudid.pdfIn PDF document text
    • https://s3.amazonaws.com/felasorarabipis/19382244100.pdfIn PDF document text
    • https://s3.amazonaws.com/zirojopemup/nato_phonetic_alphabet_printable.pdfIn PDF document text
    • https://s3.amazonaws.com/wilugugo/10318100401.pdfIn PDF document text
    • https://s3.amazonaws.com/wujodibu/antiarrhythmic_drugs.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0482/0497/2186/files/akdy_shower_panel_installation_guide.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0481/4038/6455/files/grand_lux_menu.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/8935/4142/files/oceano_e_mare_baricco.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/a1a24d4e-1bc8-4e7d-bf5b-861916bcbd40/latuwu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/a1e51871-2493-4c7a-b481-590fdf77d6d4/10936372288.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/22e9c662-a9b4-4d7d-9500-929f051527a5/rilewaliza.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/09fa0533-505b-47cb-a049-41420cc56c87/69618821323.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/56f8ba03-62d1-482b-863b-c259075d4b04/deraletedoxonazu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1f485cb3-1142-4ee4-bf7b-d37e6cdec6a0/75380715067.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_off00008d35.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8D35 5792 bytes
SHA-256: 500b07cfc601ddcdfbc0c1ca8e3bbcc6f7fc641f6ce2dac5365aeda05cd4b7c1
font_01_sfnt_off0000a0c3.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA0C3 10308 bytes
SHA-256: 8401f2478cc497c25eee0e5a761c2c72be2d9223b27819a2e5cfc3576ddd8d3e