Malicious PDF — malware analysis report

Static analysis result for SHA-256 24e8bb34c7133616…

MALICIOUS

PDF

152.5 KB Created: 2020-08-04 09:11:06 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-08
MD5: 257664742aeb4a57ea275c84672ea4fa SHA-1: 703fdbd8942325478fb3029f833834b51026939a SHA-256: 24e8bb34c713361654dd3ebf1974fee6339a40f9255579f9590072cf62c3747c
134 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1059.001 PowerShell

The PDF contains a malicious redirector link that is disguised as a download for a "watchmen comic download pdf". The ML classifier strongly flagged this PDF as malicious, and the embedded URL points to known malicious infrastructure. The primary intent appears to be directing the user to a malicious site through social engineering.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9999

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.cc/pify?keyword=watchmen+comic+download+pdf In PDF document text
    • http://files.liftnrolltowing.com/uploads/1/3/1/4/131452887/824787.pdfIn PDF document text
    • http://files.fitrev.com/uploads/1/3/2/8/132814302/239526.pdfIn PDF document text
    • http://files.finenorwich.co.uk/uploads/1/3/0/7/130776619/301676.pdfIn PDF document text
    • http://files.vibrantlifestudio.com/uploads/1/3/2/8/132814272/f12549.pdfIn PDF document text
    • http://files.scuttsdrivingacademy.com/uploads/1/3/0/8/130874469/4931291.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/1/0430/3273/9989/files/dilepuxo.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/4393/6673/files/47686285858.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/6055/2085/files/kudevanujofidejokusara.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/0687/7080/files/sefumiwizekoreletete.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/8233/3851/files/cazadora_de_hadas_2_google_drive.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/2707/0104/files/sagekolowitoxemosi.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/8919/9268/files/najojap.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/7543/6698/files/78591031585.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0440/6879/8614/files/nuzalifag.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/6910/3528/files/changeling_the_lost_core.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/5874/8837/files/xubir.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://dejavu.sourceforge.netIn PDF document text
    • http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0001ffee.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x1FFEE 5224 bytes
SHA-256: 05fecee58f6481212a69aa9e99d4980466ad5bc53d5c8a4907e05c7cffeba357
font_01_sfnt_off000211af.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x211AF 14188 bytes
SHA-256: a5f85db78f9d4085e8bacd5efdc8741c48e539e3f5226893251e60753b6806e4
font_02_sfnt_off00023ee0.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x23EE0 16120 bytes
SHA-256: 184efd0e138a9418359f6897f9ac56b5cd93cafbd57abf30711ac2aee7e18832