Malicious PDF — malware analysis report

Static analysis result for SHA-256 73a5bdc5b69bb5eb…

MALICIOUS

PDF

52.0 KB Created: 2020-09-05 17:54:58 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-08
MD5: 7fb193bdc3604f31ae4dccd885f48fba SHA-1: 20247205f356e21f1862b5c2d38c15e6df1add7d SHA-256: 73a5bdc5b69bb5eb7e6ca9049802ba3ad02873d00e1ba7f4d16946a3bd983c30
194 Risk Score

Malware Insights

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

The PDF contains a lure for a "movie download" which links to a redirector URL. This redirector is associated with known malicious infrastructure and is part of a link farm, suggesting a phishing or scam campaign. The ML classifier also strongly indicated maliciousness.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9999

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.link/wix?keyword=before+midnight+full+movie++300mb In PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://scripts.sil.orgThisIn PDF document text
    • http://www.fontrix.comhttp://www.nhncorp.comIn PDF document text
    • https://static.usrfiles.com/ugd/62e2c1_9fbef4e203dd4ab3936cc6f0eb2bae98.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/9219f8_ff39a32f18ed42fd9ec94293f52e68e5.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/d51d36_9c3f061e31844e29b683aea01fb7c424.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/0286dd_ed7461364db6418c9b4535e5594528e0.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/3e9e83_49e79f755897451b900be5aa8ec37f23.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/b4609a_81d44c4c10964c2cbf2b84986cfcba0d.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/739437_1888feccb1fc4f8c98602747f2b8d60e.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/b8c837_922d640a9751425b9e720093c48995a0.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/0a052f_f49ed5f208ef4a11b07bc41d7965a901.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0441/0392/5912/files/soseloxipumijab.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/4581/3413/files/vomesexerijakaxi.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/7840/9622/files/asakuki_diffuser_500ml_manual.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/6159/9656/files/analytical_techniques_in_environmental_science.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0462/3165/0453/files/the_way_of_shadows_brent_weeks.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
    • http://scripts.sil.org/In PDF document text
    • http://scripts.sil.org/OFLAbyssinicaIn PDF document text

Extracted artifacts 5

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00005657.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5657 5488 bytes
SHA-256: 557c48ad327235b3a9351fce0b69e67615d3bd473c770c2957c60bb58f5675d4
font_01_sfnt_off000068ec.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x68EC 20968 bytes
SHA-256: aa890c11d31957efca0fd402aa72a454fd9b4193136962196ca6c8da92cd1596
font_02_sfnt_off0000891b.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x891B 2276 bytes
SHA-256: 04d00fe4d3d1cfb13f6c45ea00a1a16b92fe51d00c0709aca980b96f225372d0
font_03_sfnt_off000092e8.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x92E8 11184 bytes
SHA-256: d0e3996e4079ac378fef7663c1595217b51215169663be396b45c910a1826074
font_04_sfnt_off0000b8e5.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xB8E5 2056 bytes
SHA-256: 2e46b36fed23876ebb6e11f7a152916482bd8967c060a582f04975efc8a71266